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» A comparative study of two object recognition methods
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BMCBI
2010
243views more  BMCBI 2010»
14 years 9 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
ASUNAM
2011
IEEE
13 years 9 months ago
Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks
Abstract—Community detection or cluster detection in networks is a well-studied, albeit hard, problem. Given the scale and complexity of modern day social networks, detecting “...
Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Ch...
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ICCV
2009
IEEE
16 years 2 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
PAMI
2007
217views more  PAMI 2007»
14 years 9 months ago
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
GEOS
2005
Springer
15 years 3 months ago
Comparing Representations of Geographic Knowledge Expressed as Conceptual Graphs
Abstract. Conceptual Graphs are a very powerful knowledge and meaning representation formalism grounded on deep philosophical, linguistic and object oriented principles [1], [2]. C...
Athanasios Karalopoulos, Margarita Kokla, Marinos ...