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» An fMRI Activation Method Using Complex Data
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TKDE
2008
134views more  TKDE 2008»
14 years 11 months ago
Sensor-Based Abnormal Human-Activity Detection
With the availability of affordable sensors and sensor networks, sensor-based human-activity recognition has attracted much attention in artificial intelligence and ubiquitous comp...
Jie Yin, Qiang Yang, Jeffrey Junfeng Pan
CP
2005
Springer
15 years 5 months ago
Applying Constraint Programming to Rigid Body Protein Docking
In this paper we show how Constraint Programming (CP) techniques can improve the efficiency and applicability of grid-based algorithms for optimising surface contact between comple...
Ludwig Krippahl, Pedro Barahona
BMCBI
2008
138views more  BMCBI 2008»
14 years 12 months ago
Systematic identification of yeast cell cycle transcription factors using multiple data sources
Background: Eukaryotic cell cycle is a complex process and is precisely regulated at many levels. Many genes specific to the cell cycle are regulated transcriptionally and are exp...
Wei-Sheng Wu, Wen-Hsiung Li
MICCAI
2006
Springer
16 years 24 days ago
Improving Segmentation of the Left Ventricle Using a Two-Component Statistical Model
Abstract. Quality of segmentations obtained by 3D Active Appearance Models (AAMs) crucially depends on underlying training data. MRI heart data, however, often come noisy, incomple...
Jirí Hladuvka, Katja Bühler, Sebastian...
ICCV
2011
IEEE
13 years 12 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic