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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
134
Voted
ICIP
2004
IEEE
16 years 4 months ago
Object recognition based on binary partition trees
This paper presents an object recognition method that exploits the representation of the images obtained by means of a Binary Partition Tree (BPT). The shape matching technique in...
Oreste Salerno, Montse Pardàs, Verón...
141
Voted
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
16 years 3 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
94
Voted
ICPR
2008
IEEE
15 years 9 months ago
A robust technique for text extraction in mixed-type binary documents
A crucial preprocessing stage in applications such as OCR is text extraction from mixed-type documents. The present work, in contrast to most until now, successfully faces the pro...
Charalambos Strouthopoulos, Athanasios Nikolaidis
ISBI
2007
IEEE
15 years 9 months ago
Localizing Amygdala Structure Differences in Late-life Depression
The amygdala is critical for processing emotional information and plays an important role in late-life depression (LLD). Volumetric studies of the amygdala have been inconclusive ...
Robert J. Tamburo, Greg J. Siegle, George D. Stett...