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SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
14 years 11 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
RAS
2010
216views more  RAS 2010»
14 years 8 months ago
6D scan registration using depth-interpolated local image features
This paper describes a novel registration approach that is based on a combination of visual and 3D range information. To identify correspondences, local visual features obtained f...
Henrik Andreasson, Achim J. Lilienthal
NIPS
1997
14 years 11 months ago
Structure Driven Image Database Retrieval
A new algorithm is presented which approximates the perceived visual similarity between images. The images are initially transformed into a feature space which captures visual str...
Jeremy S. De Bonet, Paul A. Viola
CVPR
2012
IEEE
13 years 8 hour ago
Locally Orderless Tracking
Locally Orderless Tracking (LOT) is a visual tracking algorithm that automatically estimates the amount of local (dis)order in the object. This lets the tracker specialize in both...
Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avid...
ISWC
2005
IEEE
15 years 3 months ago
Pictorial Depth Cues for Outdoor Augmented Reality
This paper presents and evaluates a set of pictorial depth cues for far-field outdoor mobile augmented reality (AR). We examine the problem of accurately placing virtual annotatio...
Jason Wither, Tobias Höllerer