Jianping Fan - Academia.edu (original) (raw)
Papers by Jianping Fan
The Journal of Immunology, May 1, 2014
Zhonghua Yi Xue Za Zhi, Nov 1, 2005
To further study the impact of interferon-alpha (IFN-alpha) on thymidine phosphorylase (TP) expre... more To further study the impact of interferon-alpha (IFN-alpha) on thymidine phosphorylase (TP) expression and angiogenesis. Human hepatocellular carcinoma cells of the line SMMC-7721 were cultured and added with IFN-alpha of different doses: 0 (as control group), 1000, 5000 and 10,000 U/ml. Twenty-four hours later RT-PCR was used to detect the TP mRNA expression. Boyden chamber method was used to examine the endothelial cells migration. Suspension of SMMC-7721 cells was inoculated subcutaneously into 30 male BALB/c-nu/nu mice, the mice were randomly divided into 5 equal groups to be subcutaneously injected with IFN-alpha of different doses: 0 (as control group), 1.0 x 10(6), 3.0 x 10(6), 9.0 x 10(6), and 1.5 x 10(7) U.kg(-1).d(-1) for 3 weeks. The eating behavior, activity, body weight, and tumor size were observed. The rats were killed 2 days after the drug injection was stopped. The subcutaneous tumors were taken out to undergo histological examination and TP protein expression by ELISA. The microvessel density (MVD) was detected using anti-CD34 monoclonal antibody. The TP mRNA expression of the SMMC-7721 cells induced by IFN-alpha of the doses of 5000 U/ml and 10,000 U/ml significantly increased in comparison with the un-treated SMMC-7721 cells (0 U/ml, P < 0.05). The endothelial cell migration significantly increased in the IFN-alpha 1000 U/ml group compared with the control group (P < 0.001), and then decreased along with the increase of IFN-alpha dose; there were no significant differences in the epithelial migration among the groups of 0, 5000, and 10,000 U/ml IFN-alpha doses (all P > 0.05). The TP protein expression levels of the tumor in the rats treated with IFN-alpha of the doses of 9.0 x 10(6), and 1.5 x 10(7) U.kg(-1).d(-1) were 48 ng/mg +/- 24 ng/mg and 60 ng/mg +/- 6 ng/mg respectively, 1.9 and 2.4 times that of the control group (both P < 0.01). The MVD of the tumors was 6.0 +/- 1.8 in the 9.0 x 10(6) U.kg(-1).d(-1) IFN-alpha group, significantly higher than that of the control group (P < 0.01); and was 4.0 +/- 1.5 in the 1.5 x 10(7) U.kg(-1).d(-1) group, significantly lower than that of the 9.0 x 10(6) U.kg(-1).d(-1) group (P < 0.05) and not significantly different from that of the control group. The tumor inhibiting rate of the 1.5 x 10(7) U.kg(-1).d(-1) IFN-alpha group was 68%, significantly higher than that of the untreated group (P < 0.05). IFN-alpha of certain doses up-regulate the TP expression, and inhibit the angiogenesis induced by TP as well.
Acta Mech Solida Sinica, 2006
A three-dimensional finite element analysis was conducted to evaluate the feasibility of predicti... more A three-dimensional finite element analysis was conducted to evaluate the feasibility of predicting the flexural properties of hydroxyapatite-reinforced poly-L-lactide acid (HA/PLLA) biocomposite using three different schemes. The scheme 1, originated from a beam analysis, was used to determine the flexural modulus analytically while the scheme 2 and 3 were designed to have different loading and boundary conditions using a finite element cell modeling approach. An empirical approach using Chow's formula and experimental data were used for comparison with the predicted results. In order to reduce the computational time and save the storage space involved in determining the effect of varying particle volume fractions on the flexural properties of HA/PLLA, a superelement technique was applied. The results using the scheme 3 and the Chow's formula were found to be in reasonable agreement with experimental results over the range of particle volume fraction. In addition to the Chow's formula, local stress distribution and the failure processes in HA/PLLA were simulated using the finite element technique.
Zhonghua Gan Zang Bing Za Zhi Zhonghua Ganzangbing Zazhi Chinese Journal of Hepatology, Jun 1, 2010
American Journal of Cancer Research, 2015
To clarify the value of postoperative adjuvant transcatheter arterial chemoembolization (TACE) fo... more To clarify the value of postoperative adjuvant transcatheter arterial chemoembolization (TACE) for resectable multiple hepatocellular carcinoma beyond the Milan criteria. Patients with multiple HCC have been shown to have a worse survival after a partial hepatectomy (PH) because of the high incidence of intrahepatic tumor recurrence. Postoperative adjuvant TACE is an optional strategy for HCC patients with a high recurrence risk. Its effects and range of applications are debatable. This retrospective study enrolled 135 HCC patients with resectable multiple hepatocellular carcinoma beyond the Milan criteria, and those patients underwent a hepatectomy with/without postoperative adjuvant TACE from Jan. 2004 to Dec. 2008. The patients were divided to the PH cohort or the PH+TACE cohort. The prognosis measures were the disease-free survival (DFS) and overall survival (OS) from the date of treatment. Univariate and multivariate analyses were used to assess the prognostic factors associated with DFS and OS, using the Cox proportional hazards model. The 1-, 2-, and 5-year DFS and OS for the PH+TACE group differed significantly from the PH group (p = 0.004, p = 0.002, respectively). Multivariate analysis revealed that the significant independent risk factors associated with the DFS and OS were postoperative TACE treatment (p = 0.002, p = 0.001, respectively) and the number of tumors (p = 0.006, p = 0.037, respectively). Our results show that postoperative adjuvant treatment resulted in delayed intrahepatic recurrence and better survival for patients with resectable multiple hepatocellular carcinoma beyond the Milan criteria. Postoperative adjuvant TACE should be regarded as a common strategy for patients with resectable multiple HCC beyond the Milan criteria.
Proceedings of the Third Ieee Pacific Rim Conference on Multimedia Advances in Multimedia Information Processing, 2002
Due to the fact that the camera motion usually imply some hints which are helpful in bridging the... more Due to the fact that the camera motion usually imply some hints which are helpful in bridging the gap between computationally available features and semantic interpretations, extensive researches have been executed to extract them for various purposes. However, these strategies fail to classify the camera rotation; furthermore, their performance might be significantly reduced by considerable noise or error in extracted
Journal of the American Statistical Association, Feb 1, 2007
This paper studies estimation of partially linear hazard regression models for multivariate survi... more This paper studies estimation of partially linear hazard regression models for multivariate survival data. A profile pseudo-partial likelihood estimation method is proposed under the marginal hazard model framework. The estimation on the parameters for linear part is accomplished via maximization of a pseudo-partial likelihood profiled over the nonparametric part. This enables one to obtain √ nconsistent estimators of the parametric component. Asymptotic normality is obtained for the estimates of both the linear and nonlinear parts. The new technical challenge is that the nonparametric component is indirectly estimated via on the constructive suggestions and comments from the associate editor and two anonymous referees that greatly improved this article. 1 its integrated derivative function from a local polynomial fit. An algorithm of fast implementation of our proposed method is presented. Consistent standard error estimates using sandwich-type of ideas are also developed, which facilitates inferences for the model. It is shown that the nonparametric component can be estimated as well as if the parametric components were known and the failure times within each subject were independent. Simulations are conducted to demonstrate the performance of the proposed method. A real dataset is analyzed to illustrate the proposed methodology. Abbreviated Title. Partially Linear Hazard Regression.
Molecular Biology Reports, 2009
Trichosanthin (TCS), is purified from the Chinese medicine, exerts antitumor activities by induci... more Trichosanthin (TCS), is purified from the Chinese medicine, exerts antitumor activities by inducing apoptosis in many different tumor cell lines. The cDNA of trichosanthin was cloned and TCS was purified. The results showed that the proliferation of MCG803 cells were significantly suppressed by TCS in a dose-dependent manner at the concentration ranging from 20 to 100 microg/ml. The result of sequencing analysis indicates we obtained the TCS whole length gene. MTT assay was adopted to measure the growth inhibition ratio of MCG803 cells treated with TCS and apoptosis was assayed by agarose gel electrophoresis. DNA agarose gel electrophoresis showed a gradient, which confirmed that TCS could induce MCG803 cells apoptosis. The proportion of the periodic tumor cells were altered by TCS. Sub-G(1) curves were displayed by flow cytometry analysis. Results of Northern and Western blots showed that the transcription and expression of P21, was gradually up-regulated as treatment time increased. On the contrary, the transcription and expression of p53, was down-regulated. These data provided powerful evidences for the first time that recombinant TCS can induce the apoptosis of the MCG803 cells.
Journal of Cancer Research and Clinical Oncology, Apr 7, 2009
Lecture Notes in Computer Science, 2008
ABSTRACT
Lecture Notes in Computer Science, 2010
Even though current news websites use large amount of multimedia materials including image, video... more Even though current news websites use large amount of multimedia materials including image, video and audio, the multimedia materials are used as supplementary to the traditional text-based framework. As users always prefer multimedia, the traditional text-based news exploration interface receives more and more criticisms from both journalists and general audiences. To resolve this problem, we propose a novel framework for
To support more eective video retrieval at semantic level, we introduce a novel framework to achi... more To support more eective video retrieval at semantic level, we introduce a novel framework to achieve seman- tic video classification. This novel framework includes: (a) A semantic-senstive video content representation framework via principal video shots to enhance the quality of features (i.e., the ability of the selected low-level multimodal perceptual features to discriminate among various semantic video concepts); (b) A
Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 2010
ABSTRACT The performance of image classification largely depends on both the discrimination power... more ABSTRACT The performance of image classification largely depends on both the discrimination power of the visual features for image content representation and the effectiveness of the kernels for diverse image similarity characterization. Different types of kernels have been developed for SVM image classifier training, and different research teams may use different types of visual features in their experiments. Thus there is an urgent need to provide benchmark work to assess the real performance of different types of visual features and kernels for various image classification tasks. In this paper, we have benchmarked multiple approaches for feature extraction and image similarity characterization, so that some useful guidelines can be provided for: (a) how to select more effective approach for feature extraction and enhance the discrimination power of various types of visual features; and (b) how to combine multiple types of visual features and their kernels to enhance the discrimination power of SVM image classifiers. Our experiments on large-scale image collections have also obtained very positive results.
Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 2010
ABSTRACT To crawl large amounts of weakly-tagged images for computer vision tasks such as object ... more ABSTRACT To crawl large amounts of weakly-tagged images for computer vision tasks such as object detection and scene recognition, it is very important to develop new techniques for tag cleansing and word sense disambiguation (i.e., removing irrelevant images from the crawled results). Based on this observation, a topic network is first generated to characterize both the semantic similarity contexts and the visual similarity contexts between the image topics more sufficiently. The topic network is used to represent the classes of objects and scenes of interest. Second, both the visual similarity contexts between the images and the semantic similarity contexts between their tags are integrated for tag cleansing and word sense disambiguation. By addressing the issues of polysemes and synonyms more effectively, our word sense disambiguation algorithm can determine the relevance between the images and the associated tags more precisely, and thus it can allow us to crawl large-scale weakly-tagged images for computer vision tasks.
We propose a new automatic image segmentation method. Color edges in an image are first obtained ... more We propose a new automatic image segmentation method. Color edges in an image are first obtained automatically by combining an improved isotropic edge detector and a fast entropic thresholding technique. After the obtained color edges have provided the major geometric structures in an image, the centroids between these adjacent edge regions are taken as the initial seeds for seeded region growing (SRG). These seeds are then replaced by the centroids of the generated homogeneous image regions by incorporating the required additional pixels step by step. Moreover, the results of color-edge extraction and SRG are integrated to provide homogeneous image regions with accurate and closed boundaries. We also discuss the application of our image segmentation method to automatic face detection. Furthermore, semantic human objects are generated by a seeded region aggregation procedure which takes the detected faces as object seeds. where he worked on VLSI design for very low bit-rate video communication. From served on the editorial board of IEEE TRANSACTIONS ON COMPUTERS. He is a Chair of the steering committee of the Symposium on Research Issues on Data Engineering and was one of its founders; he serves on the steering committee of IEEE ICDE and has served on its program chair and general chair. He has served on various program and organization committees. He is a member of the ACM.
Optical Engineering
ABSTRACT
2008 3rd International Symposium on Communications, Control and Signal Processing, 2008
Neighbor finding is an important and a basic part of image processing in quadtrees. A constant ti... more Neighbor finding is an important and a basic part of image processing in quadtrees. A constant time algorithm is proposed for neighbor finding in quadtrees in [1]. In this paper, empirical tests are given for the constant time algorithm in comparison with usual neighbor finding algorithm using quadtrees [2] and another constant time algorithm using linear quadtree [3]
The Journal of Immunology, May 1, 2014
Zhonghua Yi Xue Za Zhi, Nov 1, 2005
To further study the impact of interferon-alpha (IFN-alpha) on thymidine phosphorylase (TP) expre... more To further study the impact of interferon-alpha (IFN-alpha) on thymidine phosphorylase (TP) expression and angiogenesis. Human hepatocellular carcinoma cells of the line SMMC-7721 were cultured and added with IFN-alpha of different doses: 0 (as control group), 1000, 5000 and 10,000 U/ml. Twenty-four hours later RT-PCR was used to detect the TP mRNA expression. Boyden chamber method was used to examine the endothelial cells migration. Suspension of SMMC-7721 cells was inoculated subcutaneously into 30 male BALB/c-nu/nu mice, the mice were randomly divided into 5 equal groups to be subcutaneously injected with IFN-alpha of different doses: 0 (as control group), 1.0 x 10(6), 3.0 x 10(6), 9.0 x 10(6), and 1.5 x 10(7) U.kg(-1).d(-1) for 3 weeks. The eating behavior, activity, body weight, and tumor size were observed. The rats were killed 2 days after the drug injection was stopped. The subcutaneous tumors were taken out to undergo histological examination and TP protein expression by ELISA. The microvessel density (MVD) was detected using anti-CD34 monoclonal antibody. The TP mRNA expression of the SMMC-7721 cells induced by IFN-alpha of the doses of 5000 U/ml and 10,000 U/ml significantly increased in comparison with the un-treated SMMC-7721 cells (0 U/ml, P < 0.05). The endothelial cell migration significantly increased in the IFN-alpha 1000 U/ml group compared with the control group (P < 0.001), and then decreased along with the increase of IFN-alpha dose; there were no significant differences in the epithelial migration among the groups of 0, 5000, and 10,000 U/ml IFN-alpha doses (all P > 0.05). The TP protein expression levels of the tumor in the rats treated with IFN-alpha of the doses of 9.0 x 10(6), and 1.5 x 10(7) U.kg(-1).d(-1) were 48 ng/mg +/- 24 ng/mg and 60 ng/mg +/- 6 ng/mg respectively, 1.9 and 2.4 times that of the control group (both P < 0.01). The MVD of the tumors was 6.0 +/- 1.8 in the 9.0 x 10(6) U.kg(-1).d(-1) IFN-alpha group, significantly higher than that of the control group (P < 0.01); and was 4.0 +/- 1.5 in the 1.5 x 10(7) U.kg(-1).d(-1) group, significantly lower than that of the 9.0 x 10(6) U.kg(-1).d(-1) group (P < 0.05) and not significantly different from that of the control group. The tumor inhibiting rate of the 1.5 x 10(7) U.kg(-1).d(-1) IFN-alpha group was 68%, significantly higher than that of the untreated group (P < 0.05). IFN-alpha of certain doses up-regulate the TP expression, and inhibit the angiogenesis induced by TP as well.
Acta Mech Solida Sinica, 2006
A three-dimensional finite element analysis was conducted to evaluate the feasibility of predicti... more A three-dimensional finite element analysis was conducted to evaluate the feasibility of predicting the flexural properties of hydroxyapatite-reinforced poly-L-lactide acid (HA/PLLA) biocomposite using three different schemes. The scheme 1, originated from a beam analysis, was used to determine the flexural modulus analytically while the scheme 2 and 3 were designed to have different loading and boundary conditions using a finite element cell modeling approach. An empirical approach using Chow's formula and experimental data were used for comparison with the predicted results. In order to reduce the computational time and save the storage space involved in determining the effect of varying particle volume fractions on the flexural properties of HA/PLLA, a superelement technique was applied. The results using the scheme 3 and the Chow's formula were found to be in reasonable agreement with experimental results over the range of particle volume fraction. In addition to the Chow's formula, local stress distribution and the failure processes in HA/PLLA were simulated using the finite element technique.
Zhonghua Gan Zang Bing Za Zhi Zhonghua Ganzangbing Zazhi Chinese Journal of Hepatology, Jun 1, 2010
American Journal of Cancer Research, 2015
To clarify the value of postoperative adjuvant transcatheter arterial chemoembolization (TACE) fo... more To clarify the value of postoperative adjuvant transcatheter arterial chemoembolization (TACE) for resectable multiple hepatocellular carcinoma beyond the Milan criteria. Patients with multiple HCC have been shown to have a worse survival after a partial hepatectomy (PH) because of the high incidence of intrahepatic tumor recurrence. Postoperative adjuvant TACE is an optional strategy for HCC patients with a high recurrence risk. Its effects and range of applications are debatable. This retrospective study enrolled 135 HCC patients with resectable multiple hepatocellular carcinoma beyond the Milan criteria, and those patients underwent a hepatectomy with/without postoperative adjuvant TACE from Jan. 2004 to Dec. 2008. The patients were divided to the PH cohort or the PH+TACE cohort. The prognosis measures were the disease-free survival (DFS) and overall survival (OS) from the date of treatment. Univariate and multivariate analyses were used to assess the prognostic factors associated with DFS and OS, using the Cox proportional hazards model. The 1-, 2-, and 5-year DFS and OS for the PH+TACE group differed significantly from the PH group (p = 0.004, p = 0.002, respectively). Multivariate analysis revealed that the significant independent risk factors associated with the DFS and OS were postoperative TACE treatment (p = 0.002, p = 0.001, respectively) and the number of tumors (p = 0.006, p = 0.037, respectively). Our results show that postoperative adjuvant treatment resulted in delayed intrahepatic recurrence and better survival for patients with resectable multiple hepatocellular carcinoma beyond the Milan criteria. Postoperative adjuvant TACE should be regarded as a common strategy for patients with resectable multiple HCC beyond the Milan criteria.
Proceedings of the Third Ieee Pacific Rim Conference on Multimedia Advances in Multimedia Information Processing, 2002
Due to the fact that the camera motion usually imply some hints which are helpful in bridging the... more Due to the fact that the camera motion usually imply some hints which are helpful in bridging the gap between computationally available features and semantic interpretations, extensive researches have been executed to extract them for various purposes. However, these strategies fail to classify the camera rotation; furthermore, their performance might be significantly reduced by considerable noise or error in extracted
Journal of the American Statistical Association, Feb 1, 2007
This paper studies estimation of partially linear hazard regression models for multivariate survi... more This paper studies estimation of partially linear hazard regression models for multivariate survival data. A profile pseudo-partial likelihood estimation method is proposed under the marginal hazard model framework. The estimation on the parameters for linear part is accomplished via maximization of a pseudo-partial likelihood profiled over the nonparametric part. This enables one to obtain √ nconsistent estimators of the parametric component. Asymptotic normality is obtained for the estimates of both the linear and nonlinear parts. The new technical challenge is that the nonparametric component is indirectly estimated via on the constructive suggestions and comments from the associate editor and two anonymous referees that greatly improved this article. 1 its integrated derivative function from a local polynomial fit. An algorithm of fast implementation of our proposed method is presented. Consistent standard error estimates using sandwich-type of ideas are also developed, which facilitates inferences for the model. It is shown that the nonparametric component can be estimated as well as if the parametric components were known and the failure times within each subject were independent. Simulations are conducted to demonstrate the performance of the proposed method. A real dataset is analyzed to illustrate the proposed methodology. Abbreviated Title. Partially Linear Hazard Regression.
Molecular Biology Reports, 2009
Trichosanthin (TCS), is purified from the Chinese medicine, exerts antitumor activities by induci... more Trichosanthin (TCS), is purified from the Chinese medicine, exerts antitumor activities by inducing apoptosis in many different tumor cell lines. The cDNA of trichosanthin was cloned and TCS was purified. The results showed that the proliferation of MCG803 cells were significantly suppressed by TCS in a dose-dependent manner at the concentration ranging from 20 to 100 microg/ml. The result of sequencing analysis indicates we obtained the TCS whole length gene. MTT assay was adopted to measure the growth inhibition ratio of MCG803 cells treated with TCS and apoptosis was assayed by agarose gel electrophoresis. DNA agarose gel electrophoresis showed a gradient, which confirmed that TCS could induce MCG803 cells apoptosis. The proportion of the periodic tumor cells were altered by TCS. Sub-G(1) curves were displayed by flow cytometry analysis. Results of Northern and Western blots showed that the transcription and expression of P21, was gradually up-regulated as treatment time increased. On the contrary, the transcription and expression of p53, was down-regulated. These data provided powerful evidences for the first time that recombinant TCS can induce the apoptosis of the MCG803 cells.
Journal of Cancer Research and Clinical Oncology, Apr 7, 2009
Lecture Notes in Computer Science, 2008
ABSTRACT
Lecture Notes in Computer Science, 2010
Even though current news websites use large amount of multimedia materials including image, video... more Even though current news websites use large amount of multimedia materials including image, video and audio, the multimedia materials are used as supplementary to the traditional text-based framework. As users always prefer multimedia, the traditional text-based news exploration interface receives more and more criticisms from both journalists and general audiences. To resolve this problem, we propose a novel framework for
To support more eective video retrieval at semantic level, we introduce a novel framework to achi... more To support more eective video retrieval at semantic level, we introduce a novel framework to achieve seman- tic video classification. This novel framework includes: (a) A semantic-senstive video content representation framework via principal video shots to enhance the quality of features (i.e., the ability of the selected low-level multimodal perceptual features to discriminate among various semantic video concepts); (b) A
Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 2010
ABSTRACT The performance of image classification largely depends on both the discrimination power... more ABSTRACT The performance of image classification largely depends on both the discrimination power of the visual features for image content representation and the effectiveness of the kernels for diverse image similarity characterization. Different types of kernels have been developed for SVM image classifier training, and different research teams may use different types of visual features in their experiments. Thus there is an urgent need to provide benchmark work to assess the real performance of different types of visual features and kernels for various image classification tasks. In this paper, we have benchmarked multiple approaches for feature extraction and image similarity characterization, so that some useful guidelines can be provided for: (a) how to select more effective approach for feature extraction and enhance the discrimination power of various types of visual features; and (b) how to combine multiple types of visual features and their kernels to enhance the discrimination power of SVM image classifiers. Our experiments on large-scale image collections have also obtained very positive results.
Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 2010
ABSTRACT To crawl large amounts of weakly-tagged images for computer vision tasks such as object ... more ABSTRACT To crawl large amounts of weakly-tagged images for computer vision tasks such as object detection and scene recognition, it is very important to develop new techniques for tag cleansing and word sense disambiguation (i.e., removing irrelevant images from the crawled results). Based on this observation, a topic network is first generated to characterize both the semantic similarity contexts and the visual similarity contexts between the image topics more sufficiently. The topic network is used to represent the classes of objects and scenes of interest. Second, both the visual similarity contexts between the images and the semantic similarity contexts between their tags are integrated for tag cleansing and word sense disambiguation. By addressing the issues of polysemes and synonyms more effectively, our word sense disambiguation algorithm can determine the relevance between the images and the associated tags more precisely, and thus it can allow us to crawl large-scale weakly-tagged images for computer vision tasks.
We propose a new automatic image segmentation method. Color edges in an image are first obtained ... more We propose a new automatic image segmentation method. Color edges in an image are first obtained automatically by combining an improved isotropic edge detector and a fast entropic thresholding technique. After the obtained color edges have provided the major geometric structures in an image, the centroids between these adjacent edge regions are taken as the initial seeds for seeded region growing (SRG). These seeds are then replaced by the centroids of the generated homogeneous image regions by incorporating the required additional pixels step by step. Moreover, the results of color-edge extraction and SRG are integrated to provide homogeneous image regions with accurate and closed boundaries. We also discuss the application of our image segmentation method to automatic face detection. Furthermore, semantic human objects are generated by a seeded region aggregation procedure which takes the detected faces as object seeds. where he worked on VLSI design for very low bit-rate video communication. From served on the editorial board of IEEE TRANSACTIONS ON COMPUTERS. He is a Chair of the steering committee of the Symposium on Research Issues on Data Engineering and was one of its founders; he serves on the steering committee of IEEE ICDE and has served on its program chair and general chair. He has served on various program and organization committees. He is a member of the ACM.
Optical Engineering
ABSTRACT
2008 3rd International Symposium on Communications, Control and Signal Processing, 2008
Neighbor finding is an important and a basic part of image processing in quadtrees. A constant ti... more Neighbor finding is an important and a basic part of image processing in quadtrees. A constant time algorithm is proposed for neighbor finding in quadtrees in [1]. In this paper, empirical tests are given for the constant time algorithm in comparison with usual neighbor finding algorithm using quadtrees [2] and another constant time algorithm using linear quadtree [3]