About
The aim of this workshop is to consolidate research efforts in this area, and to provide an informal discussion forum for researchers and practitioners interested in this important yet diverse subject. The discussion will revolve around two main themes, which basically correspond to the two fundamental questions that arise when abandoning the realm of vectorial, feature-based representations, namely:
* How can one obtain suitable similarity information from data representations that are more powerful than, or simply different from, the vectorial?
* How can one use similarity information in order to perform learning and classification tasks?
We aim at covering a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, and from theoretical issues to real-world practical applications.
Accordingly, topics of interest include (but are not limited to):
* Embedding and embeddability
* Graph spectra and spectral geometry
* Indefinite and structural kernels
* Game-theoretic models of pattern recognition
* Characterization of non-(geo)metric behaviour
* Foundational issues
* Measures of (geo)metric violations
* Learning and combining similarities
* Multiple-instance learning
* Applications
Detailed information can be found at SIMBAD 2011.
Related categories
Uploaded videos:
Welcome Address
Opening
Oct 17, 2011
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2679 Views
Invited talks
What makes things similar?
Oct 17, 2011
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4546 Views
Support Constraints Machines
Oct 17, 2011
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3633 Views
Limitations of kernel and multiple kernel learning
Oct 17, 2011
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5686 Views
Dissimilarity Characterization and Analysis
On the Usefulness of Similarity based Projection Spaces for Transfer Learning
Oct 17, 2011
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6401 Views
Metric Anomaly Detection Via Asymmetric Risk Minimization
Oct 17, 2011
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2973 Views
One Shot Similarity Metric Learning for Action Recognition
Oct 17, 2011
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7043 Views
Generative Models of Similarity Data
Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma
Oct 17, 2011
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3029 Views
Multi-task Regularization of Generative Similarity Models
Oct 17, 2011
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3006 Views
A Generative Dyadic Aspect Model for Evidence Accumulation Clustering
Oct 17, 2011
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3078 Views
Applications
Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell...
Oct 17, 2011
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2881 Views
Supervised Segmentation of Fiber Tracts
Oct 17, 2011
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2789 Views
Exploiting Dissimilarity Representations for Person Re-Identification
Oct 17, 2011
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3175 Views
Clustering and Dissimilarity Data
Multiple-Instance Learning with Instance Selection via Dominant Sets
Oct 17, 2011
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3565 Views
Min-Sum Clustering of Protein Sequences with Limited Distance Information
Oct 17, 2011
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3210 Views
Bag Dissimilarities for Multiple Instance Learning
Oct 17, 2011
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3333 Views
Graphs and Relational Models
Supervised Learning of Graph Structure
Oct 17, 2011
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3713 Views
An Information Theoretic Approach to Learning Generative Graph Prototypes
Oct 17, 2011
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3410 Views
Graph Characterization via Backtrackless paths
Oct 17, 2011
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3126 Views