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HMDB: A large video database for human motion recognition
TLDR
We collected the largest action video database to-date with 51 action categories, which in total contain around 7,000 manually annotated clips extracted from a variety of sources ranging from digitized movies to YouTube. Expand
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Hierarchical models of object recognition in cortex
Visual processing in cortex is classically modeled as a hierarchy of increasingly sophisticated representations, naturally extending the model of simple to complex cells of Hubel and Wiesel.Expand
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Robust Object Recognition with Cortex-Like Mechanisms
TLDR
We introduce a general framework for the recognition of complex visual scenes, which is motivated by biology: We describe a hierarchical system that closely follows the organization of visual cortex and builds an increasingly complex and invariant feature representation by alternating between a template matching and a maximum pooling operation. Expand
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Networks for approximation and learning
The problem of the approximation of nonlinear mapping, (especially continuous mappings) is considered. Regularization theory and a theoretical framework for approximation (based on regularizationExpand
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Incremental and Decremental Support Vector Machine Learning
TLDR
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Expand
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Multiclass cancer diagnosis using tumor gene expression signatures
The optimal treatment of patients with cancer depends on establishing accurate diagnoses by using a complex combination of clinical and histopathological data. In some instances, this task isExpand
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Holographic Embeddings of Knowledge Graphs
TLDR
We propose holographic embeddings (HOLE) to learn compositional vector space representations of entire knowledge graphs. Expand
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Object recognition with features inspired by visual cortex
TLDR
We introduce a novel set of features for robust object recognition. Expand
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Face Recognition: Features Versus Templates
TLDR
Two new algorithms for computer recognition of human faces, one based on the computation of a set of geometrical features, such as nose width and length, mouth position, and chin shape, and the second based on almost-gray-level template matching, are presented. Expand
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Prediction of central nervous system embryonal tumour outcome based on gene expression
Embryonal tumours of the central nervous system (CNS) represent a heterogeneous group of tumours about which little is known biologically, and whose diagnosis, on the basis of morphologic appearanceExpand
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