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» Learning from Highly Structured Data by Decomposition
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BMVC
2010
14 years 7 months ago
High Five: Recognising human interactions in TV shows
In this paper we address the problem of recognising interactions between two people in realistic scenarios for video retrieval purposes. We develop a per-person descriptor that us...
Alonso Patron, Marcin Marszalek, Andrew Zisserman,...
ICMLA
2008
14 years 11 months ago
Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinb...
ICRA
2005
IEEE
141views Robotics» more  ICRA 2005»
15 years 3 months ago
Humanoid Vertical Jumping based on Force Feedback and Inertial Forces Optimization
— This paper proposes adapting human jumping dynamics to humanoid robotic structures. Data obtained from human jumping phases and decomposition together with ground reaction forc...
Sophie Sakka, Kazuhito Yokoi
SAINT
2005
IEEE
15 years 3 months ago
Learning Logic Wrappers for Information Extraction from the Web
This paper discusses a methodology for applying general-purpose first-order inductive learning to extract information from Web documents structured as unranked ordered trees. The...
Costin Badica, Elvira Popescu, Amelia Badica
ICDM
2005
IEEE
125views Data Mining» more  ICDM 2005»
15 years 3 months ago
Alternate Representation of Distance Matrices for Characterization of Protein Structure
The most suitable method for the automated classification of protein structures remains an open problem in computational biology. In order to classify a protein structure with an...
Keith Marsolo, Srinivasan Parthasarathy