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PacificVis 2010: Taipei, Taiwan
- IEEE Pacific Visualization Symposium PacificVis 2010, Taipei, Taiwan, March 2-5, 2010. IEEE Computer Society 2010, ISBN 978-1-4244-6685-6

- Stephen C. North, Han-Wei Shen, Jarke J. van Wijk:

A message from the program chairs. - Chris R. Johnson:

Image-based biomedical computing and visualization. - Jean-Daniel Fekete:

Advanced interaction for Information Visualization. - Yingcai Wu, Huamin Qu, Ka-Kei Chung, Ming-Yuen Chan, Hong Zhou:

Quantitative effectiveness measures for direct volume rendered images. 1-8 - Jörg-Stefan Praßni, Timo Ropinski

, Jörg Mensmann, Klaus H. Hinrichs:
Shape-based transfer functions for volume visualization. 9-16 - Martin Haidacher, Daniel Patel, Stefan Bruckner

, Armin Kanitsar, M. Eduard Gröller:
Volume visualization based on statistical transfer-function spaces. 17-24 - Yunhai Wang, Wei Chen, Guihua Shan, Tingxin Dong, Xuebin Chi:

Volume exploration using ellipsoidal Gaussian transfer functions. 25-32 - Waqas Javed, Niklas Elmqvist

:
Stack zooming for multi-focus interaction in time-series data visualization. 33-40 - Roberto Lopez-Hernandez, David Guilmaine, Michael J. McGuffin, Lee Barford:

A layer-oriented interface for visualizing time-series data from oscilloscopes. 41-48 - Fanny Chevalier, Stéphane Huot, Jean-Daniel Fekete:

WikipediaViz: Conveying article quality for casual Wikipedia readers. 49-56 - Alexander Lex

, Marc Streit
, Ernst Kruijff, Dieter Schmalstieg:
Caleydo: Design and evaluation of a visual analysis framework for gene expression data in its biological context. 57-64 - Tung-Ju Hsieh, Cheng-Kai Chen, Kwan-Liu Ma:

Visualizing field-measured seismic data. 65-72 - Daniel Patel, Stefan Bruckner

, Ivan Viola
, M. Eduard Gröller:
Seismic volume visualization for horizon extraction. 73-80 - Chung-Hsing Hsu, James P. Ahrens

, Katrin Heitmann:
Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization. 81-88 - Teng-Yok Lee

, Abon Chaudhuri, Fatih Porikli
, Han-Wei Shen:
CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video. 89-96 - Peihong Guo

, He Xiao, Zuchao Wang, Xiaoru Yuan
:
Interactive local clustering operations for high dimensional data in parallel coordinates. 97-104 - Jing Li, Jarke J. van Wijk, Jean-Bernard Martens:

A model of symbol lightness discrimination in sparse scatterplots. 105-112 - Patrick Oesterling, Christian Heine

, Heike Jänicke, Gerik Scheuermann:
Visual analysis of high dimensional point clouds using topological landscapes. 113-120 - Weiwei Cui, Yingcai Wu, Shixia Liu, Furu Wei, Michelle X. Zhou, Huamin Qu:

Context preserving dynamic word cloud visualization. 121-128 - Jishang Wei, Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma:

A sketch-based interface for classifying and visualizing vector fields. 129-136 - Rüyam Acar:

An advection-reaction model for flow visualization. 137-144 - Carson Brownlee, Vincent Pegoraro

, Singer Shankar, Patrick S. McCormick, Charles D. Hansen:
Physically-based interactive schlieren flow visualization. 145-152 - Yueqi Hu, Shuangyuan Wu, Shihong Xia, Jinghua Fu, Wei Chen:

Motion track: Visualizing variations of human motion data. 153-160 - Megumi Nakao, Kei Wai Cecilia Hung, Satoshi Yano, Koji Yoshimura, Kotaro Minato:

Adaptive proxy geometry for direct volume manipulation. 161-168 - Timo Ropinski

, Christian Döring, Christof Rezk-Salama:
Interactive volumetric lighting simulating scattering and shadowing. 169-176 - Anna Tikhonova, Carlos D. Correa, Kwan-Liu Ma:

Explorable images for visualizing volume data. 177-184 - Chun-Cheng Lin

:
Crossing-free many-to-one boundary labeling with hyperleaders. 185-192 - Walter Didimo, Giuseppe Liotta

, Salvatore Agostino Romeo:
Graph visualization techniques for conceptual Web site traffic analysis. 193-200 - Emden R. Gansner, Yifan Hu, Stephen G. Kobourov

:
GMap: Visualizing graphs and clusters as maps. 201-208 - Vladimir Batagelj

, Walter Didimo, Giuseppe Liotta
, Pietro Palladino, Maurizio Patrignani:
Visual analysis of large graphs using (X, Y)-clustering and hybrid visualizations. 209-216

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