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15 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
IIHMSP
2006
IEEE
137views Multimedia» more  IIHMSP 2006»
14 years 1 months ago
Understanding Human Behavior Using a Language Modeling Approach
Visual analysis of human behavior has generated considerable interest in the field of computer vision because of the wide spectrum of potential applications. In this paper, we pre...
Yu-Ming Liang, Sheng-Wen Shih, Arthur Chun-Chieh S...
ICMI
2004
Springer
152views Biometrics» more  ICMI 2004»
14 years 1 months ago
Exploiting prosodic structuring of coverbal gesticulation
Although gesture recognition has been studied extensively, communicative, affective, and biometrical “utility” of natural gesticulation remains relatively unexplored. One of t...
Sanshzar Kettebekov
ICIAR
2009
Springer
14 years 7 days ago
VizDraw: A Platform to Convert Online Hand-Drawn Graphics into Computer Graphics
Abstract. With the adoption of tablet-based data entry devices, there is considerable interest in methods for converting hand-drawn sketches of flow charts, graphs and block diagr...
Akshaya Kumar Mishra, Justin A. Eichel, Paul W. Fi...
ICML
2010
IEEE
13 years 8 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun