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SSPR
2010
Springer
14 years 8 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
EDBT
2008
ACM
178views Database» more  EDBT 2008»
15 years 10 months ago
An inductive database and query language in the relational model
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
Lothar Richter, Jörg Wicker, Kristina Kessler...
PLDI
2010
ACM
15 years 7 months ago
Complete Functional Synthesis
Synthesis of program fragments from specifications can make programs easier to write and easier to reason about. To integrate synthesis into programming languages, synthesis algor...
Viktor Kuncak, Mika l Mayer, Ruzica Piskac, Philip...
SISAP
2009
IEEE
155views Data Mining» more  SISAP 2009»
15 years 4 months ago
Analyzing Metric Space Indexes: What For?
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
Gonzalo Navarro
DAC
2006
ACM
15 years 11 months ago
Efficient simulation of critical synchronous dataflow graphs
Simulation and verification using electronic design automation (EDA) tools are key steps in the design process for communication and signal processing systems. The synchronous dat...
Chia-Jui Hsu, José Luis Pino, Ming-Yung Ko,...