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» The many levels of CSCL
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CVPR
2000
IEEE
16 years 8 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...
ECCV
2004
Springer
16 years 8 months ago
A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks
This paper presents a biologically motivated model for low and mid-level vision tasks and its interpretation in computer vision terms. Initially we briefly present the biologically...
Iasonas Kokkinos, Rachid Deriche, Petros Maragos, ...
HPCA
2007
IEEE
16 years 6 months ago
A Memory-Level Parallelism Aware Fetch Policy for SMT Processors
A thread executing on a simultaneous multithreading (SMT) processor that experiences a long-latency load will eventually stall while holding execution resources. Existing long-lat...
Stijn Eyerman, Lieven Eeckhout
CVPR
2010
IEEE
16 years 2 months ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
CCGRID
2009
IEEE
16 years 28 days ago
Improving Parallel Write by Node-Level Request Scheduling
In a cluster of multiple processors or cpu-cores, many processes may run on each compute node. Each process tends to issue contiguous I/O requests for snapshot, checkpointing or s...
Kazuki Ohta, Hiroya Matsuba, Yutaka Ishikawa