Repetitive, predictable story lines and illustrations that match the text provide maximum support to the emergent reader. Engaging stories promote reading comprehension, and easy and fun activities on the inside back covers extend learning. Great for Reading First, Fluency, Vocabulary, Text Comprehension, and ESL/ELL!

"From spider webs to salamanders, find all kinds of different patterns in nature along with Mia"--

Simple text and photos present some of the patterns in nature and in everyday things.

Much loved by parents and children alike, Baby Sees is an award-winning and best-selling series for Picthall and Gunzi. 'Baby Sees' gets bigger! This delightful new addition to the highly popular board book series described by the Practical Pre-School Award judges as 'brilliant and unique'. The high-contrast shapes will fascinate babies as they focus on the simple patterns, all in the iconic 'Baby Sees' style. It is vital for young babies to experience bold, bright images to help the visual part of the brain to develop. Baby Sees helps do just that. AGES 3m up SELLING POINTS An award-winning and best-selling series. All materials are non-toxic and have been tested to ensure that the books are safe. Captivating high-contrast designs ideal for babies as they begin to focus on simple shapes. Durable, board books, perfect for play boxes. Colour illustrations

"Simple text and color photographs introduce different kinds of animal patterns"--Provided by publisher.

What happens when we think? How do people make judgments? While different theories abound—and are heatedly debated—most are based on an algorithmic model of how the brain works. Howard Margolis builds a fascinating case for a theory that thinking is based on recognizing patterns and that this process is intrinsically a-logical. Margolis gives a Darwinian account of how pattern recognition evolved to reach human cognitive abilities. Illusions of judgment—standard anomalies where people consistently misjudge or misperceive what is logically implied or really present—are often used in cognitive science to explore the workings of the cognitive process. The explanations given for these anomalous results have generally explained only the anomaly under study and nothing more. Margolis provides a provocative and systematic analysis of these illusions, which explains why such anomalies exist and recur. Offering empirical applications of his theory, Margolis turns to historical cases to show how an individual's cognitive repertoire—the available cognitive patterns and their relation to cues—changes or resists changes over time. Here he focuses on the change in worldview occasioned by the Copernican discovery: not only how an individual might come to see things in a radically new way, but how it is possible for that new view to spread and become the dominant one. A reanalysis of the trial of Galileo focuses on social cognition and its interactions with politics. In challenging the prevailing paradigm for understanding how the human mind works, Patterns, Thinking, and Cognition is certain to stimulate fruitful debate.

The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3D textures and spatiotemporal (dynamic) textures. Also, where texture was once utilized for applications such as remote sensing, industrial inspection and biomedical image analysis, the introduction of LBP-based approaches have provided outstanding results in problems relating to face and activity analysis, with future scope for face and facial expression recognition, biometrics, visual surveillance and video analysis. Computer Vision Using Local Binary Patterns provides a detailed description of the LBP methods and their variants both in spatial and spatiotemporal domains. This comprehensive reference also provides an excellent overview as to how texture methods can be utilized for solving different kinds of computer vision and image analysis problems. Source codes of the basic LBP algorithms, demonstrations, some databases and a comprehensive LBP bibliography can be found from an accompanying web site. Topics include: local binary patterns and their variants in spatial and spatiotemporal domains, texture classification and segmentation, description of interest regions, applications in image retrieval and 3D recognition - Recognition and segmentation of dynamic textures, background subtraction, recognition of actions, face analysis using still images and image sequences, visual speech recognition and LBP in various applications. Written by pioneers of LBP, this book is an essential resource for researchers, professional engineers and graduate students in computer vision, image analysis and pattern recognition. The book will also be of interest to all those who work with specific applications of machine vision.