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Machine Learning and Robot Perception (Studies in Computational Intelligence)
Machine Learning and Robot Perception (Studies in Computational Intelligence)
This book presents some of the most recent research results in the area of machine learning and robot perception. The book contains eight chapters.

Relevant progress has been done, within the Robotics field, in mechanical systems, actuators, control and planning. This fact, allows a wide application of industrial robots, where
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From Active Data Management to Event-Based Systems and More: Papers in Honor of Alejandro Buchmann on the Occasion of His 60th Birthday
From Active Data Management to Event-Based Systems and More: Papers in Honor of Alejandro Buchmann on the Occasion of His 60th Birthday

Data management has evolved over the years from being strictly associated with database systems, through active databases, to being a topic that has grown beyond the scope of a single field encompassing multiple aspects: distributed systems, event-driven systems, and peer-to-peer and streaming systems. The present collection of works,...

Computer Vision: From Surfaces to 3D Objects
Computer Vision: From Surfaces to 3D Objects

The typical computational approach to object understanding derives shape information from the 2D outline of the objects. For complex object structures, however, such a planar approach cannot determine object shape; the structural edges have to be encoded in terms of their full 3D spatial configuration. Computer Vision: From Surfaces...

Geocomputation
Geocomputation

GeoComputation (GC) is a follow-on revolution that is occurring after the introduction of geographical information systems (GIS). It is expected to gather speed and momentum in the first decade of the 21st century. The rationale behind this latest revolution is quite simple. When we have finished creating our GIS databases, set up our...

Representations and Techniques for 3D Object Recognition & Scene Interpretation
Representations and Techniques for 3D Object Recognition & Scene Interpretation

3D scene understanding and object recognition are among the grandest challenges in computer vision. A wide variety of techniques and goals, such as structure from motion, optical flow, stereo, edge detection, and segmentation, could be viewed as subtasks within scene understanding and recognition. Many of these applicable methods are...

GeoSpatial Semantics: 4th International Conference, GeoS 2011, Brest, France, May 12-13, 2011
GeoSpatial Semantics: 4th International Conference, GeoS 2011, Brest, France, May 12-13, 2011

The fourth edition of the International Conference on Geospatial Semantics (GeoS 2011) was held in Brest, France, during May 12–13, 2011.

Geospatial semantics (GEOS) is an emerging research area in the domain of geographic information science. It aims at exploring strategies, computational methods, and tools to support...

Reasoning in Event-Based Distributed Systems (Studies in Computational Intelligence)
Reasoning in Event-Based Distributed Systems (Studies in Computational Intelligence)

Event-based distributed systems are playing an ever increasing role in areas such as enterprise management, information dissemination, finance, environmental monitoring and geo-spatial systems. Event-based processing originated with the introduction of Event-Condition-Action (ECA) rules to database systems in the 1980s. Since then,...

Visualizing Data Patterns with Micromaps (Chapman & Hall/CRC Interdisciplinary Statistics)
Visualizing Data Patterns with Micromaps (Chapman & Hall/CRC Interdisciplinary Statistics)

After over fifteen years of research and trial and error, micromap designs have evolved to the point where they are slowly finding their way into mainstream statistical visualizations. Now seems to be a good time to pull all of the work together into a book in order to introduce micromaps to a wide range of people interested in...

Computer Processing of Remotely-Sensed Images: An Introduction
Computer Processing of Remotely-Sensed Images: An Introduction

Environmental remote sensing is the measurement, from a distance, of the spectral features of the Earth’s surface and atmosphere. These measurements are normally made by instruments carried by satellites or aircraft, and are used to infer the nature and characteristics of the land or sea surface, or of the atmosphere, at the...

Computer Vision Using Local Binary Patterns (Computational Imaging and Vision)
Computer Vision Using Local Binary Patterns (Computational Imaging and Vision)

Humans receive the great majority of information about their environment through sight, and at least 50% of the human brain is dedicated to vision. Vision is also a key component for building artificial systems that can perceive and understand their environment. Computer vision is likely to change society in many ways; for example, it...

Constraint Processing (The Morgan Kaufmann Series in Artificial Intelligence)
Constraint Processing (The Morgan Kaufmann Series in Artificial Intelligence)

A constraint is a restriction on a space of possibilities; it is a piece of knowledge that narrows the scope of this space. Because constraints arise naturally in most areas of human endeavor, they are the most general means for formulating regularities that govern our computational, physical, biological, and social worlds. Some...

Modeling Online Auctions (Statistics in Practice)
Modeling Online Auctions (Statistics in Practice)

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data

Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make...

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