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NIPS
2004
15 years 8 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes
NIPS
1998
15 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
SIGIR
2010
ACM
15 years 6 months ago
Generalized syntactic and semantic models of query reformulation
We present a novel approach to query reformulation which combines syntactic and semantic information by means of generalized Levenshtein distance algorithms where the substitution...
Amac Herdagdelen, Massimiliano Ciaramita, Daniel M...
ADHOC
2007
115views more  ADHOC 2007»
15 years 6 months ago
Modeling adaptive node capture attacks in multi-hop wireless networks
We investigate the problem of modeling node capture attacks in heterogeneous wireless ad hoc and mesh networks. Classical adversarial models such as the Dolev–Yao model are know...
Patrick Tague, Radha Poovendran
ANOR
2010
110views more  ANOR 2010»
15 years 6 months ago
Re-solving stochastic programming models for airline revenue management
We study some mathematical programming formulations for the origin-destination model in airline revenue management. In particular, we focus on the traditional probabilistic model ...
Lijian Chen, Tito Homem-de-Mello