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114
Voted
VMV
2004
123views Visualization» more  VMV 2004»
15 years 4 months ago
Hierarchy Accelerated Stochastic Collision Detection
In this paper we present a new framework for collision and self-collision detection for highly deformable objects such as cloth. It permits to efficiently trade off accuracy for s...
Stefan Kimmerle, Matthieu Nesme, François F...
122
Voted
ACL
1998
15 years 4 months ago
Dialogue Act Tagging with Transformation-Based Learning
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
Ken Samuel, Sandra Carberry, K. Vijay-Shanker
CIMAGING
2009
145views Hardware» more  CIMAGING 2009»
15 years 3 months ago
Wavelet-based Poisson rate estimation using the Skellam distribution
Owing to the stochastic nature of discrete processes such as photon counts in imaging, real-world data measurements often exhibit heteroscedastic behavior. In particular, time ser...
Keigo Hirakawa, Farhan A. Baqai, Patrick J. Wolfe
125
Voted
ICML
2010
IEEE
15 years 3 months ago
Multi-Class Pegasos on a Budget
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
Zhuang Wang, Koby Crammer, Slobodan Vucetic
126
Voted
RECSYS
2010
ACM
15 years 2 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street