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» A Statistical Learning Approach To Document Image Analysis
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ICASSP
2009
IEEE
15 years 6 months ago
Incorporating monolingual corpora into bilingual latent semantic analysis for crosslingual LM adaptation
The major limitation in bilingual latent semantic analysis (bLSA) is the requirement of parallel training corpora. Motivated by semi-supervised learning, we propose a clusterbased...
Yik-Cheung Tam, Tanja Schultz
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
16 years 7 days ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
ICML
2005
IEEE
16 years 19 days ago
Non-negative tensor factorization with applications to statistics and computer vision
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
Amnon Shashua, Tamir Hazan
ICIP
2006
IEEE
16 years 1 months ago
Provably Secure Steganography: Achieving Zero K-L Divergence using Statistical Restoration
In this paper, we present a framework for the design of steganographic schemes that can provide provable security by achieving zero Kullback-Leibler divergence between the cover a...
Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow...
ICCV
2005
IEEE
15 years 5 months ago
On the Spatial Statistics of Optical Flow
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Stefan Roth, Michael J. Black