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IJCAI
2007
13 years 6 months ago
Change of Representation for Statistical Relational Learning
Statistical relational learning (SRL) algorithms learn statistical models from relational data, such as that stored in a relational database. We previously introduced view learnin...
Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S...
AI
2008
Springer
13 years 6 months ago
A Statistical Model for Topic Segmentation and Clustering
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
M. Mahdi Shafiei, Evangelos E. Milios
SAIG
2000
Springer
13 years 8 months ago
Generating Data Analysis Programs from Statistical Models
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...
FGR
2006
IEEE
104views Biometrics» more  FGR 2006»
13 years 8 months ago
Face Alignment with Unified Subspace Optimization of Active Statistical Models
Active statistical models including active shape models and active appearance models are very powerful for face alignment. They are composed of two parts: the subspace model(s) an...
Ming Zhao 0003, Tat-Seng Chua
ICDAR
2007
IEEE
13 years 8 months ago
On Computing Strength of Evidence for Writer Verification
The problem of Writer Verification is to make a decision of whether or not two handwritten documents are written by the same person. Providing a strength of evidence for any such ...
Harish Srinivasan, S. Kabra, Chen Huang, Sargur N....
ISPASS
2003
IEEE
13 years 9 months ago
A statistical model of skewed-associativity
This paper presents a statistical model for explaining why skewed-associativity removes conflicts better than setassociativity. We show that, with a high probability, 2-way skewe...
Pierre Michaud
ICIP
2003
IEEE
13 years 9 months ago
A priori information in image segmentation: energy functional based on shape statistical model and image information
In this paper, we propose an energy functional to segment objects whose global shape is a priori known thanks to a statistical model. Our work aims at extending the variational ap...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
ICAPR
2005
Springer
13 years 10 months ago
Missing Data Estimation Using Polynomial Kernels
Abstract. In this paper, we deal with the problem of partially observed objects. These objects are defined by a set of points and their shape variations are represented by a statis...
Maxime Berar, Michel Desvignes, Gérard Bail...
CIKM
2005
Springer
13 years 10 months ago
Establishing value mappings using statistical models and user feedback
In this paper, we present a “value mapping” algorithm that does not rely on syntactic similarity or semantic interpretation of the values. The algorithm first constructs a st...
Jaewoo Kang, Tae Sik Han, Dongwon Lee, Prasenjit M...
ICMCS
2006
IEEE
150views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Image Auto-Annotation using a Statistical Model with Salient Regions
Traditionally, statistical models for image auto-annotation have been coupled with image segmentation. Considering the performance of the current segmentation algorithms, it can b...
Jiayu Tang, Jonathon S. Hare, Paul H. Lewis