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ICCV
2009
IEEE
16 years 11 months ago
Unlabeled data improves word prediction
Labeling image collections is a tedious task, especially when multiple labels have to be chosen for each image. In this paper we introduce a new framework that extends state of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 6 months ago
Mining long-term search history to improve search accuracy
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
Bin Tan, Xuehua Shen, ChengXiang Zhai
SKG
2005
IEEE
15 years 11 months ago
Improving Searching Performance Based on Semantic Correlativity in Peer to Peer Network
Most existing Peer-to-peer (P2P) systems support only title-based searches, which can not satisfy the content searches. In this paper, we proposed a semantic correlativity model wh...
Zhichao Li, Pilian He, Feng Li, Ming Lei
DAGM
2003
Springer
15 years 11 months ago
Improving Children's Speech Recognition by HMM Interpolation with an Adults' Speech Recognizer
In this paper we address the problem of building a good speech recognizer if there is only a small amount of training data available. The acoustic models can be improved by interpo...
Stefan Steidl, Georg Stemmer, Christian Hacker, El...
ECAL
2007
Springer
16 years 9 days ago
Improving Agent Localisation Through Stereotypical Motion
Abstract. When bees and wasps leave the nest to forage, they perform orientation or learning flights. This behaviour includes a number of stereotyped flight manoeuvres mediating ...
Bart Baddeley, Andrew Philippides