1427 search results - page 127 / 286 » Markov Random Field Modeling in Computer Vision |
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
ASAP
2011
IEEE
12 years 9 months ago
2011
IEEE
—The domain of vision and navigation often includes applications for feature tracking as well as simultaneous localization and mapping (SLAM). As these problems require computati...
CVIU
2006
13 years 9 months ago
2006
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
IANDC
2011
13 years 4 months ago
2011
The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the influence of...
CP
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. In this paper we consider the problem of computing the density of states of a Boolean formula in CNF, a generalization of both MAX-SAT and model counting. Given a Boolean...