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TOG
2008
174views more  TOG 2008»
13 years 7 months ago
A mass spring model for hair simulation
Our goal is to simulate the full hair geometry, consisting of approximately one hundred thousand hairs on a typical human head. This will require scalable methods that can simulat...
Andrew Selle, Michael Lentine, Ronald Fedkiw
CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
SYNASC
2006
IEEE
103views Algorithms» more  SYNASC 2006»
14 years 1 months ago
Incremental Deterministic Planning
We present a new planning algorithm that formulates the planning problem as a counting satisfiability problem in which the number of available solutions guides the planner determ...
Stefan Andrei, Wei-Ngan Chin, Martin C. Rinard
INFOCOM
2011
IEEE
12 years 11 months ago
A distributed and privacy preserving algorithm for identifying information hubs in social networks
—This paper addresses the problem of identifying the top-k information hubs in a social network. Identifying topk information hubs is crucial for many applications such as advert...
Muhammad Usman Ilyas, Muhammad Zubair Shafiq, Alex...
ICDE
2009
IEEE
188views Database» more  ICDE 2009»
14 years 9 months ago
GuruMine: A Pattern Mining System for Discovering Leaders and Tribes
In this demo we introduce GuruMine, a pattern mining system for the discovery of leaders, i.e., influential users in social networks, and their tribes, i.e., a set of users usually...
Amit Goyal 0002, Byung-Won On, Francesco Bonchi, L...