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87
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BMVC
2010
15 years 9 days ago
Multi-class Boosting for Early Classification of Sequences
We propose a new boosting algorithm for sequence classification, in particular one that enables early classification of multiple classes. In many practical problems, we would like...
Katsuhiko Ishiguro, Hiroshi Sawada, Hitoshi Sakano
121
Voted
EMNLP
2010
15 years 8 days ago
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
André F. T. Martins, Noah A. Smith, Eric P....
125
Voted
PIMRC
2010
IEEE
15 years 4 days ago
Low-complexity admission control for distributed power-controlled networks with stochastic channels
This study addresses the general problem of efficient resource management in wireless networks with arbitrary timevarying topologies. Communication channels are assumed to generall...
Stepán Kucera, Bing Zhang
ICMCS
2009
IEEE
114views Multimedia» more  ICMCS 2009»
15 years 3 hour ago
Pattern-Push: A low-delay mesh-push scheduling for live peer-to-peer streaming
In live peer-to-peer (P2P) streaming, each peer (child) has a number of supplying parents whose packets have to be scheduled and delivered in time for continuous playback at the c...
Guifeng Zheng, S.-H. Gary Chan, Xiaonan Luo, Ali C...
CVPR
2010
IEEE
15 years 10 months ago
Beyond Trees: MRF Inference via Outer-Planar Decomposition
Maximum a posteriori (MAP) inference in Markov Random Fields (MRFs) is an NP-hard problem, and thus research has focussed on either finding efficiently solvable subclasses (e.g. t...
Dhruv Batra, Andrew Gallagher, Devi Parikh, Tsuhan...