4651 search results - page 630 / 931 » Data Reduction Using Multiple Models Integration |
109
Voted
MICCAI
2009
Springer
16 years 5 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
132
Voted
EH
2005
IEEE
15 years 9 months ago
2005
IEEE
The hybrid redundancy structure found at the cellular level of higher animals provides complex organism with the three key features of a reliability-engineered system: fault toler...
124
Voted
IDEAL
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
150
Voted
CVPR
2003
IEEE
15 years 9 months ago
2003
IEEE
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
141
Voted
ALMOB
2006
15 years 3 months ago
2006
Background: An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expres...