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CVPR
2012
IEEE
13 years 10 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
CVPR
2008
IEEE
16 years 9 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
ICWS
2009
IEEE
16 years 4 months ago
What are the Problem Makers: Ranking Activities According to their Relevance for Process Changes
Recently, a new generation of adaptive process management technology has emerged, which enables dynamic changes of composite services and process models respectively. This, in tur...
Chen Li, Manfred Reichert, Andreas Wombacher
WOWMOM
2005
ACM
111views Multimedia» more  WOWMOM 2005»
16 years 1 months ago
Performance Analysis of the IEEE 802.11 MAC and Physical Layer Protocol
We present in this paper an analytical model that accounts for the positions of stations with respect to the Access Point (AP) while evaluating the performance of 802.11 MAC layer...
Mohammad Hossein Manshaei, Gion Reto Cantieni, Cha...
COLING
2010
15 years 2 months ago
Designing Agreement Features for Realization Ranking
This paper shows that incorporating linguistically motivated features to ensure correct animacy and number agreement in an averaged perceptron ranking model for CCG realization he...
Rajakrishnan Rajkumar, Michael White