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PAMI
2008
161views more  PAMI 2008»
13 years 10 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
PRESENCE
2006
104views more  PRESENCE 2006»
13 years 10 months ago
Physically Realistic Virtual Surgery Using the Point-Associated Finite Field (PAFF) Approach
The generation of multimodal virtual environments for surgical training is complicated by the necessity to develop heterogeneous simulation scenarios such as surgical incision, ca...
Suvranu De, Yi-Je Lim, Manivannan Muniyandi, Manda...
ACL
1994
13 years 11 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
VMV
2003
174views Visualization» more  VMV 2003»
13 years 11 months ago
Interactive Visualization of Large Finite Element Models
198 Triangles Std. Wire Frame 2 Triangles 32×32 Texture Finite element models used in crash worthiness simulations now contain more than one million mostly quadrilateral elements...
Dirc Rose, Thomas Ertl
MSWIM
2004
ACM
14 years 3 months ago
Energy map construction for wireless sensor network under a finite energy budget
A fundamental issue in the design of a wireless sensor network is to devise mechanisms to make efficient use of its energy, and thus, extend its lifetime. Due to the paramount imp...
Raquel A. F. Mini, Antonio Alfredo Ferreira Lourei...