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SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
15 years 1 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 10 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
15 years 1 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 2 months 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 5 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