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DAGM
2010
Springer
13 years 12 months ago
Uncertainty Driven Multi-scale Optimization
This paper proposes a new multi-scale energy minimization algorithm which can be used to efficiently solve large scale labelling problems in computer vision. The basic modus operan...
Pushmeet Kohli, Victor S. Lempitsky, Carsten Rothe...
MICCAI
2009
Springer
14 years 12 months ago
Supervised Nonparametric Image Parcellation
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...
CVPR
2009
IEEE
14 years 8 months ago
Motion pattern interpretation and detection for tracking moving vehicles in airborne video
Detection and tracking of moving vehicles in airborne videos is a challenging problem. Many approaches have been proposed to improve motion segmentation on frameby-frame and pixel...
Gérard G. Medioni, Qian Yu
ICCD
2006
IEEE
109views Hardware» more  ICCD 2006»
14 years 7 months ago
Improving Scalability and Complexity of Dynamic Scheduler through Wakeup-Based Scheduling
This paper presents a new scheduling technique to improve the speed, power, and scalability of a dynamic scheduler. In a high-performance superscalar processor, the instruction sc...
Kuo-Su Hsiao, Chung-Ho Chen
MM
2006
ACM
132views Multimedia» more  MM 2006»
14 years 4 months ago
Music emotion classification: a fuzzy approach
Due to the subjective nature of human perception, classification of the emotion of music is a challenging problem. Simply assigning an emotion class to a song segment in a determi...
Yi-Hsuan Yang, Chia Chu Liu, Homer H. Chen