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.
Videos
Welcome Address

Opening
Oct 17, 2011
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2685 views
Invited talks

Limitations of kernel and multiple kernel learning
Oct 17, 2011
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5692 views

What makes things similar?
Oct 17, 2011
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4556 views

Support Constraints Machines
Oct 17, 2011
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3640 views
Dissimilarity Characterization and Analysis

On the Usefulness of Similarity based Projection Spaces for Transfer Learning
Oct 17, 2011
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6411 views

Metric Anomaly Detection Via Asymmetric Risk Minimization
Oct 17, 2011
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2978 views

One Shot Similarity Metric Learning for Action Recognition
Oct 17, 2011
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7047 views
Generative Models of Similarity Data

A Generative Dyadic Aspect Model for Evidence Accumulation Clustering
Oct 17, 2011
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3084 views

Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma
Oct 17, 2011
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3032 views

Multi-task Regularization of Generative Similarity Models
Oct 17, 2011
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3011 views
Applications

Supervised Segmentation of Fiber Tracts
Oct 17, 2011
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2797 views

Exploiting Dissimilarity Representations for Person Re-Identification
Oct 17, 2011
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3178 views

Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell...
Oct 17, 2011
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2886 views
Clustering and Dissimilarity Data

Multiple-Instance Learning with Instance Selection via Dominant Sets
Oct 17, 2011
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3571 views

Min-Sum Clustering of Protein Sequences with Limited Distance Information
Oct 17, 2011
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3215 views

Bag Dissimilarities for Multiple Instance Learning
Oct 17, 2011
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3339 views
Graphs and Relational Models

Graph Characterization via Backtrackless paths
Oct 17, 2011
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3132 views

An Information Theoretic Approach to Learning Generative Graph Prototypes
Oct 17, 2011
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3416 views

Supervised Learning of Graph Structure
Oct 17, 2011
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3716 views