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ICML
2000
IEEE
16 years 7 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
CVPR
2010
IEEE
16 years 2 months ago
Two Perceptually Motivated Strategies for Shape Classification
In this paper, we propose two new, perceptually motivated strategies to better measure the similarity of 2D shape instances that are in the form of closed contours. The first strat...
Andrew Temlyakov, Brent C. Munsell, Jarrell W. Wag...
ISCC
2008
IEEE
105views Communications» more  ISCC 2008»
16 years 22 days ago
VoRaQue: Range queries on Voronoi overlays
—This paper presents VoRaQue, a software layer supporting range queries on Voronoi P2P overlays. VoRaQue maps data in a 2-dimensional space. The P2P overlay is defined by links ...
Michele Albano, Laura Ricci, Martina Baldanzi, Ran...
ICASSP
2007
IEEE
16 years 20 days ago
Discriminating Two Types of Noise Sources using Cortical Representation and Dimension Reduction Technique
Content-based audio classification techniques have focused on classifying events that are both semantically and perceptually distinct (such as speech, music, environmental sounds...
Shiva Sundaram, Shrikanth Narayanan
SMA
2003
ACM
115views Solid Modeling» more  SMA 2003»
15 years 11 months ago
Estimating the in/out function of a surface represented by points
We present a method to estimate the in/out function of a closed surface represented by an unorganized set of data points. From the in/out function, we compute an approximation of ...
Vinícius Mello, Luiz Velho, Gabriel Taubin