35 search results - page 7 / 7 » Learning Bigrams from Unigrams |
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
The recognition of text in everyday scenes is made difficult by viewing conditions, unusual fonts, and lack of linguistic context. Most methods integrate a priori appearance info...
WWW
2009
ACM
14 years 2 days ago
2009
ACM
In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
SIGIR
2004
ACM
13 years 10 months ago
2004
ACM
This paper presents a new dependence language modeling approach to information retrieval. The approach extends the basic language modeling approach based on unigram by relaxing th...
CIKM
2003
Springer
13 years 10 months ago
2003
Springer
Out of vocabulary (OOV) words are problematic for cross language information retrieval. One way to deal with OOV words when the two languages have different alphabets, is to trans...
CIKM
2007
Springer
13 years 9 months ago
2007
Springer
Hidden markov model (HMM) is frequently used for Pinyin-toChinese conversion. But it only captures the dependency with the preceding character. Higher order markov models can brin...