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» Algorithmic Randomness of Closed Sets
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CVPR
2004
IEEE
16 years 5 months ago
Multiscale Conditional Random Fields for Image Labeling
We propose an approach to include contextual features for labeling images, in which each pixel is assigned to one of a finite set of labels. The features are incorporated into a p...
Miguel Á. Carreira-Perpiñán, ...
JMLR
2006
143views more  JMLR 2006»
15 years 3 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
55
Voted
CORR
2010
Springer
39views Education» more  CORR 2010»
15 years 25 days ago
Non-redundant random generation from weighted context-free languages
We address the non-redundant random generation of k words of length n from a context-free language. Additionally, we want to avoid a predefined set of words. We study the limits of...
Yann Ponty
TSP
2008
151views more  TSP 2008»
15 years 3 months ago
Convergence Analysis of Reweighted Sum-Product Algorithms
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...
JCO
2006
234views more  JCO 2006»
15 years 3 months ago
Coverage by directional sensors in randomly deployed wireless sensor networks
We study a novel "coverage by directional sensors" problem with tunable orientations on a set of discrete targets. We propose a Maximum Coverage with Minimum Sensors (MCM...
Jing Ai, Alhussein A. Abouzeid