Many machine learning algorithms rely on feature descriptors to access information about image appearance. Using an appropriate descriptor is therefore crucial for the algorithm to succeed. Although domain- and task-s...
详细信息
Many machine learning algorithms rely on feature descriptors to access information about image appearance. Using an appropriate descriptor is therefore crucial for the algorithm to succeed. Although domain- and task-specific feature descriptors may result in excellent performance, they currently have to be hand-crafted, a difficult and time-consuming process. In contrast, general-purpose descriptors (such as SIFT) are easy to apply and have proved successful for a variety of tasks, including classification, segmentation, and clustering. Unfortunately, most general-purpose feature descriptors are targeted at natural images and may perform poorly in document analysis tasks. In this paper, we propose a method for automatically learning feature descriptors tuned to a given image domain. The method works by first extracting the independent components of the images, and then building a descriptor by pooling these components over multiple overlapping regions. We test the proposed method on several document analysis tasks and several datasets, and show that it outperforms existing general-purpose feature descriptors.
The research of metamaterial is one of most important global activity that promises to change the lives in many different ways. Flexibly controlling the properties of metamaterials by tunable designs makes metamateria...
详细信息
The research of metamaterial is one of most important global activity that promises to change the lives in many different ways. Flexibly controlling the properties of metamaterials by tunable designs makes metamaterials more colorful and thus enables a family of new electromagnetic devices. In this paper, the use of ferrites on design of tunable metamaterials has been reviewed. Owing to the novel properties of ferrites, including broadband negative permeability and tunability of permeability, a great many researchers have focused on investigating ferrites based metamaterials and the relevant applications. This paper reviews the design, theoretical analysis, numerical and experimental demonstrations, and the potential applications of the ferrite based metamaterials.
Mode-locked lasers show femtosecond and even attosecond level short term timing jitter. Such ultralow jitter sources enable novel systems. Timing distribution systems for next generation light sources and prototype hi...
详细信息
Mode-locked lasers show femtosecond and even attosecond level short term timing jitter. Such ultralow jitter sources enable novel systems. Timing distribution systems for next generation light sources and prototype high-speed, high-resolution photonic analog-to-digital converters are demonstrated.
We show that the problem of exact computation of the joint spectral radius of a finite set of rank one matrices can be reformulated as the problem of computing the maximum cycle mean in a directed graph and hence be s...
详细信息
We show that the problem of exact computation of the joint spectral radius of a finite set of rank one matrices can be reformulated as the problem of computing the maximum cycle mean in a directed graph and hence be solved efficiently.
A statistically-based process is under development for validation of computational simulations with experimental data. The focus of this investigation is the development of surrogate models for simulations of an elect...
详细信息
ISBN:
(数字)9781600869365
A statistically-based process is under development for validation of computational simulations with experimental data. The focus of this investigation is the development of surrogate models for simulations of an electrical generator model. Several input design variables were selected as candidates for the response of power quality. Designed experiments and advanced statistical analyses were used to screen insignificant factors and develop several surrogate models. Several candidate designs for surrogate models were statistically analyzed for predictive power. Modern Design of Experiments was used to develop Central Composite Designs as well as 2nd-order and 3rd-order Optimal Response Surfaces and compare to standard engineering parametric designs. Sample sizes are statistically controlled for Type I and Type II risk for the Optimal Response Surface designs. Validations are performed for all the design surrogate models and it is determined that only the 3rd-order Optimal Response Surface surrogate accurately reflects the calibration data and predicts the validation data from the original model within acceptable precision and risk bounds.
We propose a low complexity Generalized Linear Model (GLM) for prioritizing slices during real-time H.264/AVC compressed video streaming. We train the GLM over a video database to predict the Cumulative Mean Square Er...
详细信息
We propose a low complexity Generalized Linear Model (GLM) for prioritizing slices during real-time H.264/AVC compressed video streaming. We train the GLM over a video database to predict the Cumulative Mean Square Error (CMSE) corresponding to individual slice losses by using a combination of efficient video parameters which can be easily extracted during the encoding of a frame. We prioritize the slices generated within a Group of Pictures (GOP) based on the predicted CMSE by using a Quartile Based Prioritization (QBP) scheme. For comparison, we also perform QBP on measured CMSE values from individual pre-encoded slice losses and analyze the priority misclassifications of the slices. We validate our model by applying Unequal Error Protection (UEP) using RCPC codes to the different prioritized bitstreams and evaluating their performance over noisy channels. Simulation results show that predicted CMSE schemes achieve PSNR performance close to that of the measured CMSE schemes for different slice sizes, video bitrates and over different channel SNRs.
Increasingly, robots are being applied to challenges in dynamic, unstructured environments including urban search and rescue (USAR), planetary exploration, and military missions. During the execution of these missions...
详细信息
Increasingly, robots are being applied to challenges in dynamic, unstructured environments including urban search and rescue (USAR), planetary exploration, and military missions. During the execution of these missions, the robot may unintentionally tip over, rendering it unable to move normally. The ability to self-right and recover in such situations is crucial to mission completion and safe robot recovery. However, to date, nearly all self-righting solutions have been point solutions, each designed for a specific platform. As a first step toward a generic solution, this paper presents a framework for analyzing the self-righting capabilities of any generic robot on sloped planar surfaces. Based on the planar assumption, interactions with the ground can be defined entirely in terms of the robot's convex hull. Motion of arms, legs, or other appendages may change the convex hull shape and/or center of mass position, affecting the robot's orientation. Our framework for solving this problem can be summarized as follows: first, for each stable conformation, we analyze the position of the center of mass relative to the vertical projection of the convex hull face in contact with the ground. From this, we develop a conformation space map, defining stable state sets as nodes and the conformations where discontinuous state changes occur as transitions. Finally, we convert this map into a directed graph, and assign costs to the transitions according to changes in potential energy between states. Based upon the ability to traverse this directed graph to the goal state, one can analyze a robot's ability to self-right. To illustrate each step in our framework, we use a simple two-dimensional robot with a one degree of freedom arm, and then show a case study of iRobot's 510 Packbot®. Ultimately, we project that this framework will be useful both for designing robots with the ability to self-right and for planning joint movements to achieve efficient, autonomous self-righting behav
暂无评论