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GRAPHICSINTERFACE
2003
13 years 9 months ago
Scanning Large-Scale Articulated Deformations
Scanning the deformation behavior of real objects is a useful technique to acquire physically realistic behavior. It has been shown previously how to acquire physically realistic ...
Jochen Lang, Dinesh K. Pai, Hans-Peter Seidel
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 4 months ago
CORE: Nonparametric Clustering of Large Numeric Databases.
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
Andrej Taliun, Arturas Mazeika, Michael H. Bö...
ISCA
2008
IEEE
143views Hardware» more  ISCA 2008»
13 years 7 months ago
TokenTM: Efficient Execution of Large Transactions with Hardware Transactional Memory
Current hardware transactional memory systems seek to simplify parallel programming, but assume that large transactions are rare, so it is acceptable to penalize their performance...
Jayaram Bobba, Neelam Goyal, Mark D. Hill, Michael...
ECAI
2004
Springer
14 years 28 days ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
NLPRS
2001
Springer
13 years 12 months ago
A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
Jun'ichi Kazama, Yusuke Miyao, Jun-ichi Tsujii