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» Learning with Local and Global Consistency
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CVPR
2012
IEEE
13 years 8 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
ICCV
2007
IEEE
16 years 8 months ago
Discriminative Subsequence Mining for Action Classification
Recent approaches to action classification in videos have used sparse spatio-temporal words encoding local appearance around interesting movements. Most of these approaches use a ...
Sebastian Nowozin, Gökhan H. Bakir, Koji Tsud...
IEEEICCI
2007
IEEE
16 years 12 days ago
An Image Association Model of the Brodmann Areas
The ability to associate images is the basis for learning relationships involving vision, hearing, tactile sensation, and kinetic motion. A new architecture is described that has ...
Douglas S. Greer
ICCAD
2005
IEEE
117views Hardware» more  ICCAD 2005»
16 years 3 months ago
IMF: interconnect-driven multilevel floorplanning for large-scale building-module designs
Abstract— We present in this paper a new interconnect-driven multilevel floorplanning, called IMF, to handle large-scale building-module designs. Unlike the traditional multilev...
Tung-Chieh Chen, Yao-Wen Chang, Shyh-Chang Lin
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
16 years 6 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi