Theory of Cognitive Pattern Recognition

The Oil Palm Wastes in Malaysia - InTech - Open

The Oil Palm Wastes in Malaysia 77 All economic activity begins with physical materials and energy carriers such as fuels and electric power.

Corrosion Inhibitors Principles, Mechanisms and …

Chapter 16 Corrosion Inhibitors – Principles, Mechanisms and Applications Camila G. Dariva and Alexandre F. Galio Additional information is available at the end of the chapter

  Corrosion

Thermoplastic Elastomers - InTech

8 Thermoplastic Elastomers Robert Shanks and Ing Kong Applied Sciences, RMIT University, Melbourne Australia 1. Introduction An elastomer is defined by mechanical response not by chemical structure.

  Thermoplastic, Elastomers, Thermoplastic elastomers

Combined Pulmonary Fibrosis and Emphysema …

Emphysema 80 patients and paraseptal emphysema in 11 of 31 patients (35%). Honeycombing, which is one of the most common findings of usual interstitial pneumonia, was present in 24 of the 31

  Combined, Pulmonary, Fibrosis, Emphysema, Combined pulmonary fibrosis and emphysema

Critical Factors Affecting Supply Chain …

Critical Factors Affecting Supply Chain Management: A Case Study in the US Pallet Industry 35 2.1.2 Government support The level of support that the company receives from the government when importing raw

  Critical, Management, Supply, Chain, Factors, Supply chain management, Supply chain, Critical factors

Current Trends and Future Developments in …

Current Trends and Future Developments in Occupational Health and Safety Risk Management 5 survey as the main measurement method. On the other hand, safety management

  Health, Development, Management, Future, Trends, Current, Occupational, Current trends and future developments, Current trends and future developments in occupational health

Fouling in Heat Exchangers - InTech - Open

Fouling in Heat Exchangers Hassan Al-Haj Ibrahim Additional information is available at the end of the chapter ... between the feed inlet and outlet sides of the heat exchanger. In a shell and tube heat exchanger, the conventional segment baffle geometry is largely responsible for higher

  Tubes, Heat, Exchanger, Shell, Shell and tube heat, Fouling, Fouling in heat exchangers

Amoebiasis in the Tropics: Epidemiology and Pathogenesis

Entamoeba histolytica is a protozoan parasite that causes amebic dysentery and liver abscess. ... In developed countries amebiasis tends to be more common in older patients and occurs mostly among men who have sex with men or in institutions. However, in tropical regions, the epidemiology of amoebiasis is completely ...

  Dysentery, Amebiasis

Salmonella in Fish and Fishery Products - InTech

5 Salmonella in Fish and Fishery Products úlkan Ali Olguno ù lu University of Adiyaman Vocational School of Kahta Turkey 1. Introduction With more than 30.000 known species, Þsh form the biggest group in the animal kingdom

  Product, Fish, Fishery, Salmonella, Salmonella in fish and fishery products

689 ' # '7& *#6 & 1 - InTech

Failure to thrive (FTT) is a common and potentia lly serious growth problem identified in the first three years of life, affecting 5% to 10% of children seen in the primary care setting (Schwartz, 2000).

  Failure, Failure to thrive, Thrive

Deep Learning for Generic Object Detection: A Survey

12 Visual object recognition Grauman and Leibe (2011) 2011 Tutorial Instance and category object recognition techniques 13 Object class detection: a survey Zhang et al. (2013) 2013 ACM CS Survey of generic object detection methods before 2011 14 Feature representation for

  Technique, Recognition, Object, Object recognition, Object recognition techniques

Selective Search for Object Recognition

techniques and stronger appearance models for object recognition. In this paper we show that our selective search enables the use of the powerful Bag-of-Words model for recognition. The Selective Search software is made publicly available 1. 1 Introduction For a long time, objects were sought to be delineated before their identification.

  Search, Selective, Technique, Recognition, Object, Selective search for object recognition, For object recognition, Selective search

ImageNet Large Scale Visual Recognition Challenge

ation of object recognition algorithms and in developing new techniques. Novel algorithmic innovations emerge with the availability of large-scale training data. The broad spectrum of object categories motivated the need for algorithms that are even able to distinguish classes which are visually very similar. We highlight the most

  Large, Scale, Technique, Visual, Recognition, Object, Imagenet, Object recognition, Imagenet large scale visual recognition

CNNs for Face Detection and Recognition

development of object classification, localization and detec-tion techniques. 2.1. Sliding Window In the early development of face detection, researchers tended to treat it as a repetitive task of object classifica-tion, by imposing sliding windows and performing object classification with the neural networks on the window re-gion.

  Technique, Faces, Recognition, Object, Detection, For face detection and recognition

Selective Search for Object Recognition

Hence without prior recognition it is hard to decide that a face and a sweater are part of one object ( Tu et al. 2005). This has led to the opposite of the traditional approach: to do localisation through the identification of an object. This recent approach in object recognition has made enor-mousprogressinlessthanadecade(DalalandTriggs2005;

  Recognition, Object, Object recognition, For object recognition

Bilinear CNN Models for Fine-grained Visual Recognition

Fine-grained recognition tasks such as identifying the species of a bird, or the model of an aircraft, are quite challenging because the visual differences between the cat-egories are small and can be easily overwhelmed by those causedbyfactorssuchaspose,viewpoint,orlocationofthe object in the image. For example, the inter-category vari-

  Fine, Recognition, Object

You Only Look Once: Unified, Real-Time Object Detection

We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to per-form detection. Instead, we frame object detection as a re-gression problem to spatially separated bounding boxes and associated class probabilities. A single neural network pre-dicts bounding boxes and class probabilities directly ...

  Object, Yolo