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 | The need for efficient content-based image retrieval has increased tremendously in areas such as biomedicine, military, commerce, education, and Web image classification and searching. In the biomedical domain, content-based image retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. Integrated Region-Based Image Retrieval presents a wavelet-based approach for feature extraction, combined with integrated region matching. An image in the database, or a portion of an image, is represented by a set of regions, roughly corresponding to objects, which are characterized by color, texture, shape, and location. A measure for the overall similarity between images is developed as a region-matching scheme that integrates properties of all the regions in the images. The advantage of using this soft matching is that it makes the metric robust to poor segmentation, an important property that previous research has not solved. Integrated Region-Based Image Retrieval demonstrates an experimental image retrieval system called SIMPLIcity (Semantics-sensitive Integrated Matching for Picture LIbraries). This system validates these methods on various image databases, proving that such methods perform much better and much faster than existing ones. The system is exceptionally robust to image alterations such as intensity variation, sharpness variation, intentional distortions, cropping, shifting, and rotation. These features are extremely important to biomedical image databases since visual features in the query image are not exactly the same as the visual features in the images in the database. Integrated Region-Based ImageRetrieval is an excellent reference for researchers in the fields of image retrieval, multimedia, computer vision and image processing. (less)Author: James Z. Wang ♦ Binding: Hardcover ♦ ISBN-13: 9780792373506 | $167 - $179  4 Merchants |
|  | Handbook of Analysis and Its Foundations is a self-contained and unified handbook on mathematical analysis and its foundations. Intended as a self-study guide for advanced undergraduates and beginning graduatestudents in mathematics and a reference for more advanced mathematicians, this highly readable book provides broader coverage than competing texts in the area. Handbook of Analysis and Its Foundations provides an introduction to a wide range of topics, including: algebra; topology; normed spaces; integration theory; topological vector spaces; and differential equations. The author effectively demonstrates the relationships between these topics and includes a few chapters on set theory and logic to explain the lack of examples for classical pathological objects whose existence proofs are not constructive. More complete than any other book on the subject, students will find this to be an invaluable handbook. For more information on this book, see http://math.vanderbilt.edu/ (less)Author: Eric Schechter ♦ Binding: Hardcover ♦ ISBN-13: 9780126227604 | $63 - $118  2 Merchants |
|  | Preface <br>Introduction <br>1 Database Design <br>2 Normalization <br>3 Numeric Data in SQL <br>4 Temporal Datatypes in SQL <br>5 Character Datatypes in SQL <br>6 NULLs-Missing Data in SQL <br>7 Other Expressions <br>8 Other Schema Objects <br>9 Table Operations <br>10 Comparison or Theta Operators <br>11 Valued Predicates <br>12 LIKE and SIMILAR Predicates <br>13 BETWEEN and OVERLAPS Predicates <br>14 The [NOT] IN Predicate <br>15 EXISTS ( ) Predicate <br>16 Quantified Subquery Predicate <br>17 The SELECT Statements Conditional OUTER JOINs <br>18 VIEWs and TEMPORARY TABLEs <br>19 Partitioning Data <br>20 Grouping Operations <br>21 Aggregate Functions <br>22 Auxiliary Tables <br>23 Statistics in SQL <br>24 Regions, Runs and Sequences <br>25 Array Structures in SQL <br>26 Set Operations <br>27 Subsets <br>28 Adjacency List Model of Trees in SQL <br>29 Nested Set Model of Trees in SQL <br>30 Graphs in SQL <br>31 Optimizing Code <br>Appendix: Readings and Resources <br>References <br>Index <br>About the Author<i><p>SQL for Smarties</i> was hailed as the first book devoted explicitly to the advanced techniques you need to transform yourself into an expert SQL programmer. Now, in this fully updated second edition, SQL mastermind Joe Celko keeps you moving forward, using his entertaining<STRIKE>,</STRIKE> conversational style to teach you the best solutions to old and new challenges and to convey <i>the way you need to think</i> if you really want to get the most out of your SQL programming efforts.</p><br><p>Inside, logic- and set-based analyses replace the traditional<STRIKE>,</STRIKE> procedural approach to problem-solving, helping you make the conceptual leap that separates an SQL gur@YÌÌÌÌÍÿ¾Û€ (less) | $102  A1Books |
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