Convex Combinatorial Optimization

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Convex Combinatorial Optimization

We introduce the convex combinatorial optimization problem, a far-reaching generalization of the standard linear combinatorial optimization problem. We show that it is strongly polynomial time solvable over any edge-guaranteed family, and discuss several applications.

متن کامل

Considering Stochastic and Combinatorial Optimization

Here, issues connected with characteristic stochastic practices are considered. In the first part, the plausibility of covering the arrangements of an improvement issue on subjective subgraphs is studied. The impulse for this strategy is a state where an advancement issue must be settled as often as possible for discretionary illustrations. Then, a preprocessing stage is considered that would q...

متن کامل

Combinatorial and convex optimization for probabilistic models in computer vision

This thesis investigates the role of optimization in two areas of Computer Science: Computer Vision and Machine Learning. Specifically, we consider two well-known problems in Computer Vision, namely motion segmentation and object category specific image segmentation, and a fundamental problem in Machine Learning, known as maximum a posteriori (map) estimation of discrete probabilistic models. I...

متن کامل

Deep Learning as a Mixed Convex-Combinatorial Optimization Problem

As neural networks grow deeper and wider, learning networks with hard-threshold activations is becoming increasingly important, both for network quantization, which can drastically reduce time and energy requirements, and for creating large integrated systems of deep networks, which may have non-differentiable components and must avoid vanishing and exploding gradients for effective learning. H...

متن کامل

Convex Relaxation for Combinatorial Penalties

In this paper, we propose an unifying view of several recently proposed structured sparsityinducing norms. We consider the situation of a model simultaneously (a) penalized by a setfunction defined on the support of the unknown parameter vector which represents prior knowledge on supports, and (b) regularized in `p-norm. We show that the natural combinatorial optimization problems obtained may ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Discrete & Computational Geometry

سال: 2004

ISSN: 0179-5376,1432-0444

DOI: 10.1007/s00454-004-1138-y