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NIPS
2004
15 years 4 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
PODS
2003
ACM
116views Database» more  PODS 2003»
16 years 3 months ago
On nearest neighbor indexing of nonlinear trajectories
In recent years, the problem of indexing mobile objects has assumed great importance because of its relevance to a wide variety of applications. Most previous results in this area...
Charu C. Aggarwal, Dakshi Agrawal
MATES
2009
Springer
15 years 9 months ago
Towards a Taxonomy of Decision Making Problems in Multi-Agent Systems
Abstract. Taxonomies in the area of Multi-Agent Systems (MAS) classify problems according to the underlying principles and assumptions of the agents’ abilities, rationality and i...
Christian Guttmann
ICIP
2003
IEEE
16 years 4 months ago
Indexing and segmenting colour images using neighbourhood sequences
In this paper we present some methods for indexing and segmenting colour images. The proposed procedures are based on well-known algorithms, but now we use digital distance functi...
András Hajdu, Benedek Nagy, Zoltán Z...
ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
15 years 9 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang