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Subjects / keywords: Computer science; Artificial intelligence; Convolutional neural network; Image (mathematics); Pixel; Perception; Transformation (genetics); Ground truth; Transfer (computing); Computer vision; Pattern recognition (psycho...

Subjects / keywords: Convolutional neural network; Computer science; Deep learning; Artificial intelligence; Activation function; Artificial neural network; Computation; Machine learning; Graphics; Pattern recognition (psychology); Algorithm...

High-dimensional data can be converted to low-dimensional codes by training a multilayer neural network with a small central layer to reconstruct high-dimensional input vectors. Gradient descent can be used for fine-tuni...

Subjects / keywords: Artificial intelligence; Computer science; Face detection; AdaBoost; Pattern recognition (psychology); Object-class detection; Classifier (UML); Computer vision; Detector; Face (sociological concept); Facial recognition ...

Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks o...

Subjects / keywords: Computer science; Robustness (evolution); Artificial intelligence; Hessian matrix; Detector; Computer vision; Invariant (physics); Pattern recognition (psychology); Mathematics; Gene; Telecommunications; Biochemistry

Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is seldom resolved. A method to construct a de...

Subjects / keywords: Computer science; Artificial intelligence; Segmentation; Margin (machine learning); Sliding window protocol; Context (archaeology); Path (computing); Image segmentation; Pattern recognition (psychology); Network architec...

Subjects / keywords: Computer science; Segmentation; Encoder; Artificial intelligence; Image segmentation; Feature (linguistics); Deep learning; Computer vision; Pattern recognition (psychology); Image (mathematics); Operating system; Lingui...

We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set of viewpoint invariant region descriptor...

Subjects / keywords: Softmax function; Computer science; Benchmark (surveying); Classifier (UML); Artificial intelligence; Convolutional neural network; Machine learning; Visualization; Pattern recognition (psychology); Geodesy; Geography

We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolution operation (a depthwise convolution f...

Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually being developed, we have found t...

Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of gr...

Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disci...

The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and multimedia data. But exactly how such ...

Subjects / keywords: theoretical aspects of computer science, pattern recognition and processing, knowledge engineering, distributed and grid systems, simulation, multimedia systems and computer graphics; Science: Mathematics: Instruments an...

Subjects / keywords: parallel and distributed processing, computer networking, machine learning, software engineering internet of thing (iot), pattern recognition, image processing; Science: Mathematics: Instruments and machines: Electronic ...

Subjects / keywords: computer science, artificial intelligence, deep learning, pattern recognition, computer vision, software engineering; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: artificial intelligence, 3d reconstruction, color vision, texture analysis, pattern recognition, image segmentation; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering...

Subjects / keywords: information technology, design automation, simulation, signal processing, pattern recognition, parallel computing; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: software, artificial intelligence, computer hardware, pattern recognition, computer networks, computer processing; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. ...

Subjects / keywords: computer theory and algorithm, artificial intelligence and pattern recognition, computer architecture and high performance computing, computer network, software engineering, database and knowledge-based systems; Science:...

Subjects / keywords: image processing, image fusion and compression, pattern recognition, radar and sonar imaging, environmental monitoring; Technology: Photography; Medicine: Medicine (General): Computer applications to medicine. Medical in...