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126
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WAPCV
2004
Springer
15 years 8 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
118
Voted
PUC
2008
99views more  PUC 2008»
15 years 2 months ago
An empirical investigation of mobile ticketing service adoption in public transportation
In this paper, we present results from a study of mobile ticketing service adoption in public transportation. The theoretical background of the study is based on technology adoptio...
Niina Mallat, Matti Rossi, Virpi Kristiina Tuunain...
113
Voted
AAAI
2004
15 years 4 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
148
Voted
CORR
2012
Springer
167views Education» more  CORR 2012»
13 years 10 months ago
Multidimensional counting grids: Inferring word order from disordered bags of words
Models of bags of words typically assume topic mixing so that the words in a single bag come from a limited number of topics. We show here that many sets of bag of words exhibit a...
Nebojsa Jojic, Alessandro Perina
ICDE
2007
IEEE
182views Database» more  ICDE 2007»
16 years 4 months ago
DIKNN: An Itinerary-based KNN Query Processing Algorithm for Mobile Sensor Networks
Current approaches to K Nearest Neighbor (KNN) search in mobile sensor networks require certain kind of indexing support. This index could be either a centralized spatial index or...
Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, Ming-...