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» Selectivity Estimation using Probabilistic Models
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CORR
1998
Springer
96views Education» more  CORR 1998»
15 years 4 months ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira
JCST
2010
189views more  JCST 2010»
14 years 11 months ago
Formally Analyzing Expected Time Complexity of Algorithms Using Theorem Proving
Probabilistic techniques are widely used in the analysis of algorithms to estimate the computational complexity of algorithms or a computational problem. Traditionally, such analys...
Osman Hasan, Sofiène Tahar
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 11 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
ECCV
1998
Springer
16 years 6 months ago
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Philip H. S. Torr, Andrew Zisserman
ICAC
2005
IEEE
15 years 10 months ago
Model-Driven Placement of Compute Tasks and Data in a Networked Utility
An important problem in resource management for networked resource-sharing systems is the simultaneous allocation of multiple resources to an application. Selfoptimizing systems m...
Piyush Shivam, Adriana Iamnitchi, Aydan R. Yumeref...