Sciweavers

411 search results - page 37 / 83
» Representing Uncertainty in RuleML
Sort
View
ICCV
2011
IEEE
12 years 8 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
CVPR
2009
IEEE
15 years 3 months ago
Granularity-tunable Gradients Partition (GGP) Descriptors for Human Detection
This paper proposes a novel descriptor, granularitytunable gradients partition (GGP), for human detection. The concept granularity is used to define the spatial and angular unce...
Yazhou Liu (Harbin Institute of Technology), Shigu...
ECCV
2002
Springer
14 years 9 months ago
Exemplar-Based Face Recognition from Video
Abstract. A new exemplar-based probabilistic approach for face recognition in video sequences is presented. The approach has two stages: First, Exemplars, which are selected repres...
Shaohua Kevin Zhou, Volker Krüger
ICDE
2007
IEEE
104views Database» more  ICDE 2007»
14 years 9 months ago
Indexing Uncertain Categorical Data
Uncertainty in categorical data is commonplace in many applications, including data cleaning, database integration, and biological annotation. In such domains, the correct value o...
Sarvjeet Singh, Chris Mayfield, Sunil Prabhakar, R...
ICML
2001
IEEE
14 years 8 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...