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» A New Discriminative Kernel From Probabilistic Models
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MM
2005
ACM
243views Multimedia» more  MM 2005»
15 years 5 months ago
Image region entropy: a measure of "visualness" of web images associated with one concept
We propose a new method to measure “visualness” of concepts, that is, what extent concepts have visual characteristics. To know which concept has visually discriminative power...
Keiji Yanai, Kobus Barnard
107
Voted
ICRA
2007
IEEE
140views Robotics» more  ICRA 2007»
15 years 6 months ago
Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM
Abstract— In this paper, simultaneous localisation and mapping (SLAM) is combined with landmark recognition to close large loops in unstructured, outdoor environments. Camera and...
Fabio T. Ramos, Juan Nieto, Hugh F. Durrant-Whyte
SIGIR
2003
ACM
15 years 5 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
BMCBI
2007
164views more  BMCBI 2007»
14 years 12 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
DELOS
2001
15 years 1 months ago
Relevance Feedback for Best Match Term Weighting Algorithms in Information Retrieval
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms based on some explicit or implicit feedback from the user. Relevance feedback i...
Djoerd Hiemstra, Stephen E. Robertson