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CIDM
2011
IEEE
14 years 3 months ago
A GPU-based interactive bio-inspired visual clustering
Abstract—In this work, we present an interactive visual clustering approach for the exploration and analysis of vast volumes of data. The proposed approach is based on a bio-insp...
Ugo Erra, Bernardino Frola, Vittorio Scarano
GBRPR
2009
Springer
15 years 6 months ago
A Graph Based Data Model for Graphics Interpretation
A universal data model, named DG, is introduced to handle vectorized data uniformly during the whole recognition process. The model supports low level graph algorithms as well as h...
Endre Katona
TCSV
2008
175views more  TCSV 2008»
14 years 11 months ago
Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
Wanqing Li, Zhengyou Zhang, Zicheng Liu
PVLDB
2008
160views more  PVLDB 2008»
14 years 11 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
ICIP
1999
IEEE
16 years 1 months ago
Robust Coding of 3D Graphic Models Using Mesh Segmentation and Data Partitioning
Zhidong Yan, Sunil Kumar, Jiankun Li, C. C. Jay Ku...