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» A Probabilistic Framework for Correspondence and Egomotion
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ICIP
2007
IEEE
14 years 9 months ago
Fundamental Matrix Estimation Without Prior Match
This paper presents a probabilistic framework for computing correspondences and fundamental matrix in the structure from motion problem. Inspired by Moisan and Stival [1], we sugg...
Frédéric Sur, Marie-Odile Berger, Ni...
BIRTHDAY
2003
Springer
14 years 1 months ago
Computational Proof as Experiment: Probabilistic Algorithms from a Thermodynamic Perspective
Abstract. A novel framework for the design and analysis of energy-aware algorithms is presented, centered around a deterministic Bit-level (Boltzmann) Random Access Machine or BRAM...
Krishna V. Palem
PR
2008
140views more  PR 2008»
13 years 7 months ago
A spatio-temporal 2D-models framework for human pose recovery in monocular sequences
This paper addresses the pose recovery problem of a particular articulated object: the human body. In this model-based approach, the 2D-shape is associated to the corresponding st...
Grégory Rogez, Carlos Orrite-Uruñuel...
CIKM
2005
Springer
14 years 1 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia
CVPR
2009
IEEE
15 years 3 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese