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» Using Problems to Learn Service-Oriented Computing
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122
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CORR
2004
Springer
103views Education» more  CORR 2004»
15 years 2 months ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
183
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CVPR
2009
IEEE
1385views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Distributed Multi-Target Tracking In A Self-Configuring Camera Network
This paper deals with the problem of tracking multiple targets in a distributed network of self-configuring pan-tilt-zoom cameras. We focus on applications where events unfold over...
Amit K. Roy Chowdhury, Bi Song, Cristian Soto
CVPR
2009
IEEE
16 years 9 months ago
Efficient Representation of Local Geometry for Large Scale Object Retrieval
State of the art methods for image and object re- trieval exploit both appearance (via visual words) and local geometry (spatial extent, relative pose). In large scale problems,...
Michal Perdoch (Czech Technical University), Ondre...
CVPR
2009
IEEE
16 years 9 months ago
Multiple Instance Feature for Robust Part-based Object Detection
Feature misalignment in object detection refers to the phenomenon that features which re up in some positive detection windows do not re up in other pos- itive detection windo...
Zhe Lin (University of Maryland at College Park), ...
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Hierarchical Spatio-Temporal Context Modeling for Action Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limit...
Jintao Li, Ju Sun, Loong Fah Cheong, Shuicheng Yan...