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CVPR
2006
IEEE
16 years 7 months ago
Clustering Appearance for Scene Analysis
We propose a new approach called "appearance clustering" for scene analysis. The key idea in this approach is that the scene points can be clustered according to their s...
Sanjeev J. Koppal, Srinivasa G. Narasimhan
CVPR
2006
IEEE
16 years 7 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
ECCV
2006
Springer
16 years 7 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...
SIGCSE
2009
ACM
135views Education» more  SIGCSE 2009»
16 years 6 months ago
Methodology for successful undergraduate recruiting in computer science at comprehensive public universities
This paper presents a methodology for increasing undergraduate Computer Science (CS) major enrollment at comprehensive public universities, particularly those that have first gene...
Patricia Morreale, Stan Kurkovsky, George Chang
SPAA
2009
ACM
16 years 6 months ago
Beyond nested parallelism: tight bounds on work-stealing overheads for parallel futures
Work stealing is a popular method of scheduling fine-grained parallel tasks. The performance of work stealing has been extensively studied, both theoretically and empirically, but...
Daniel Spoonhower, Guy E. Blelloch, Phillip B. Gib...