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ICCV
2009
IEEE
16 years 4 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 8 days 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 5 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 5 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
15 years 6 months 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