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» Reducing Training Sets by NCN-based Exploratory Procedures
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MSE
1999
IEEE
118views Hardware» more  MSE 1999»
13 years 9 months ago
Training IP Creators and Integrators
Intellectual property IP blocks are being created for reuse and marketed as a means of reducing the development time of complex designs. This in turn leads to a reduction in time ...
Donald W. Bouldin, Senthil Natarajan, Benjamin A. ...
EMNLP
2009
13 years 3 months ago
Consensus Training for Consensus Decoding in Machine Translation
We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram count...
Adam Pauls, John DeNero, Dan Klein
ICCV
2011
IEEE
12 years 5 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
PAMI
2006
143views more  PAMI 2006»
13 years 5 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
IEEEINTERACT
2002
IEEE
13 years 10 months ago
On the Predictability of Program Behavior Using Different Input Data Sets
Smaller input data sets such as the test and the train input sets are commonly used in simulation to estimate the impact of architecture/micro-architecture features on the perform...
Wei-Chung Hsu, Howard Chen, Pen-Chung Yew, Dong-yu...