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» A Framework for Multiple-Instance Learning
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MFCS
2007
Springer
16 years 15 days ago
Evolvability
A framework for analyzing the computational capabilities and the limitations of the evolutionary process of random change guided by selection was recently introduced by Valiant [V...
Leslie G. Valiant
CVPR
2006
IEEE
16 years 13 days ago
Perceptually-Inspired and Edge-Directed Color Image Super-Resolution
Inspired by multi-scale tensor voting, a computational framework for perceptual grouping and segmentation, we propose an edge-directed technique for color image superresolution gi...
Yu-Wing Tai, Wai-Shun Tong, Chi-Keung Tang
IIHMSP
2006
IEEE
137views Multimedia» more  IIHMSP 2006»
16 years 12 days 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...
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
16 years 12 days ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao
SMI
2006
IEEE
130views Image Analysis» more  SMI 2006»
16 years 11 days ago
Material-Aware Mesh Deformations
Most real world objects consist of non-uniform materials; as a result, during deformation the bending and shearing are distributed non-uniformly and depend on the local stiffness ...
Tiberiu Popa, Dan Julius, Alla Sheffer