This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that ar...
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ISBN:
(数字)9783319786742
ISBN:
(纸本)9783319786735;9783030087616
This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD, and other standard algorithms, it provides the significant dictionary learning problem variations, such as regularization, incoherence enforcing, finding an economical size, or learning adapted to specific problems like classification. Several types of dictionary structures are treated, including shift invariant; orthogonal blocks or factored dictionaries; and separable dictionaries for multidimensional signals. Nonlinear extensions such as kernel dictionary learning can also be found in the book. The discussion of all these dictionary types and algorithms is enriched with a thorough numerical comparison on several classic problems, thus showing the strengths and weaknesses of each algorithm. A few selected applications, related to classification, denoising and compression, complete the view on the capabilities of the presented dictionary learning algorithms. The book isaccompanied by code for all algorithms and for reproducing most tables and figures. Presents all relevant dictionary learning algorithms - for the standard problem and its main variations - in detail and ready for implementation;Covers all dictionary structures that are meaningful in applications; Examines the numerical properties of the algorithms and shows how to choose the appropriate dictionary learning algorithm.
A new approach to design a nonlinear observer for the Wind Energy Conversion system (WECSs) with the existence of a delay time state variable is proposed in this paper. The WECSs are modeled under a polynomial framewo...
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Nanoplastics have been widely studied as environmental pollutants, which can accumulate in the human body through the food chain or direct contact. Research has shown that nanoplastics can affect the immune system and...
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Purpose: Recent developments in robotics and artificial intelligence (AI) have led to significant advances in healthcare technologies enhancing robot-Assisted minimally invasive surgery (RAMIS) in some surgical specia...
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Purpose: Recent developments in robotics and artificial intelligence (AI) have led to significant advances in healthcare technologies enhancing robot-Assisted minimally invasive surgery (RAMIS) in some surgical specialties. However, current human-robot interfaces lack intuitive teleoperation and cannot mimic surgeon's hand/finger sensing required for fine motion micro-surgeries. These limitations make teleoperated robotic surgery not less suitable for, e.g. cardiac surgery and it can be difficult to learn for established surgeons. We report a pilot study showing an intuitive way of recording and mapping surgeon's gross hand motion and the fine synergic motion during cardiac micro-surgery as a way to enhance future intuitive teleoperation. Methods: We set to develop a prototype system able to train a Deep Neural Network (DNN) by mapping wrist, hand and surgical tool real-Time data acquisition (RTDA) inputs during mock-up heart micro-surgery procedures. The trained network was used to estimate the tools poses from refined hand joint angles. Outputs of the network were surgical tool orientation and jaw angle acquired by an optical motion capture system. Results: Based on surgeon's feedback during mock micro-surgery, the developed wearable system with light-weight sensors for motion tracking did not interfere with the surgery and instrument handling. The wearable motion tracking system used 12 finger/thumb/wrist joint angle sensors to generate meaningful datasets representing inputs of the DNN network with new hand joint angles added as necessary based on comparing the estimated tool poses against measured tool pose. The DNN architecture was optimized for the highest estimation accuracy and the ability to determine the tool pose with the least mean squared error. This novel approach showed that the surgical instrument's pose, an essential requirement for teleoperation, can be accurately estimated from recorded surgeon's hand/finger movements with a mean squared error (M
Photogrammetry is a challenging technique used to digitalize objects and to build their surface points’ meshes by connecting digital photographs taken from different positions. The work presented here is the first ph...
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SCADA systems are the computers that control essential, complicated, and often dangerous physical processes, many of which constitute the physical infrastructure critical to modern societies. These physical processes ...
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— In this letter, we investigate the formation control problem of mobile robots moving in the plane where, instead of assuming robots to be simple points, each robot is assumed to have the form of a disk with equal r...
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Correction:The name of the third author is corrected as Sbita Lassaad which was misspelled as Sbita Lassad in the original *** online version of the original article can be found at http://***/10.1007/s11633-016-0982-6.
Correction:The name of the third author is corrected as Sbita Lassaad which was misspelled as Sbita Lassad in the original *** online version of the original article can be found at http://***/10.1007/s11633-016-0982-6.
The article presents two approaches to the method of implementation of transformations of fuzzy queries into queries in the SQL standard. This implementation can be carried out: (1) in a database (in the form of funct...
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ISBN:
(纸本)9781728140704
The article presents two approaches to the method of implementation of transformations of fuzzy queries into queries in the SQL standard. This implementation can be carried out: (1) in a database (in the form of functions, procedures, triggers or other acceptable form), using the existing query processing system in the database, and thus it can expand the functionality of that database;(2) in an application (which communicates with the database), and thus a considerable portion of calculations will be transferred from the database to that application. An analysis of those approaches was conducted and it was demonstrated that the presented methods should enjoy extensive practical application.
Considering that most faults in overhead power lines are transient, fast and reliable algorithms for determining types of faults are needed. Reliable algorithm allows design of adaptive system for improving service co...
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