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» Learning words from sights and sounds: a computational model
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ICCV
2005
IEEE
16 years 1 months ago
Learning Object Categories from Google's Image Search
Current approaches to object category recognition require datasets of training images to be manually prepared, with varying degrees of supervision. We present an approach that can...
Robert Fergus, Fei-Fei Li 0002, Pietro Perona, And...
IIE
2006
130views more  IIE 2006»
14 years 11 months ago
A Study on the Perception of Students towards Educational Weblogs
Weblogs are a popular form of easy-to-use personal publishing that has attracted millions of bloggers to share their personal thoughts, opinions, and knowledge on the web. The vers...
Andrew K. Lui, Sheung-On Choy, Yannie H. Y. Cheung...
TAMC
2007
Springer
15 years 5 months ago
A Characterization of the Language Classes Learnable with Correction Queries
Abstract. Formal language learning models have been widely investigated in the last four decades. But it was not until recently that the model of learning from corrections was intr...
Cristina Tîrnauca, Satoshi Kobayashi
SIGGRAPH
1999
ACM
15 years 4 months ago
Real-Time Acoustic Modeling for Distributed Virtual Environments
Realistic acoustic modeling is essential for spatializing sound in distributed virtual environments where multiple networked users move around and interact visually and aurally in...
Thomas A. Funkhouser, Patrick Min, Ingrid Carlbom
RECOMB
2001
Springer
15 years 12 months ago
Applications of generalized pair hidden Markov models to alignment and gene finding problems
Hidden Markov models (HMMs) have been successfully applied to a variety of problems in molecular biology, ranging from alignment problems to gene nding and annotation. Alignment p...
Lior Pachter, Marina Alexandersson, Simon Cawley