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» Learning Object Representations Using Sequential Patterns
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ICPR
2006
IEEE
14 years 8 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
IJCAI
2007
13 years 9 months ago
Relational Knowledge with Predictive State Representations
Most work on Predictive Representations of State (PSRs) has focused on learning and planning in unstructured domains (for example, those represented by flat POMDPs). This paper e...
David Wingate, Vishal Soni, Britton Wolfe, Satinde...
TSE
2008
97views more  TSE 2008»
13 years 7 months ago
Timed Automata Patterns
Timed Automata have proven to be useful for specification and verification of real-time systems. System design using Timed Automata relies on explicit manipulation of clock variabl...
Jin Song Dong, Ping Hao, Shengchao Qin, Jun Sun 00...
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
14 years 2 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
PREMI
2005
Springer
14 years 1 months ago
Illumination Invariant Face Alignment Using Multi-band Active Appearance Model
Abstract. In this study, we present a new multi-band image representation for improving AAM segmentation accuracy for illumination invariant face alignment. AAM is known to be very...
Fatih Kahraman, Muhittin Gökmen