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» Optimizing Local Probability Models for Statistical Parsing
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ACL
2004
13 years 9 months ago
Discriminative Training of a Neural Network Statistical Parser
Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...
James Henderson
PAMI
2007
155views more  PAMI 2007»
13 years 7 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
ICCAD
2004
IEEE
97views Hardware» more  ICCAD 2004»
14 years 4 months ago
Statistical design and optimization of SRAM cell for yield enhancement
In this paper, we have analyzed ond modeled the fiilure probabilities ofSRAM cells due to process parameter variations. A method to predict the yield of a memoiy chip based on the...
Saibal Mukhopadhyay, Hamid Mahmoodi-Meimand, Kaush...
ACCV
2006
Springer
14 years 1 months ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
COLING
2002
13 years 7 months ago
Can Subcategorization Help a Statistical Dependency Parser?
Today there is a relatively large body of work on automatic acquisition of lexicosyntactical preferences (subcategorization) from corpora. Various techniques have been developed t...
Daniel Zeman