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Control principles of complex systems
A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …
Intelligent multi-camera video surveillance: A review
X Wang - Pattern recognition letters, 2013 - Elsevier
Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …
vision, pattern recognition, signal processing, communication, embedded computing and …
Maximum flow and minimum-cost flow in almost-linear time
We give an algorithm that computes exact maximum flows and minimum-cost flows on
directed graphs with m edges and polynomially bounded integral demands, costs, and …
directed graphs with m edges and polynomially bounded integral demands, costs, and …
Addressing the minimum fleet problem in on-demand urban mobility
Abstract Information and communication technologies have opened the way to new
solutions for urban mobility that provide better ways to match individuals with on-demand …
solutions for urban mobility that provide better ways to match individuals with on-demand …
[КНИГА][B] Kernelization: theory of parameterized preprocessing
Preprocessing, or data reduction, is a standard technique for simplifying and speeding up
computation. Written by a team of experts in the field, this book introduces a rapidly …
computation. Written by a team of experts in the field, this book introduces a rapidly …
A deterministic almost-linear time algorithm for minimum-cost flow
We give a deterministic m^1+o(1) time algorithm that computes exact maximum flows and
minimum-cost flows on directed graphs with m edges and polynomially bounded integral …
minimum-cost flows on directed graphs with m edges and polynomially bounded integral …
[КНИГА][B] Parameterized algorithms
The goal of this textbook is twofold. First, the book serves as an introduction to the field of
parameterized algorithms and complexity accessible to graduate students and advanced …
parameterized algorithms and complexity accessible to graduate students and advanced …
Convergent learning: Do different neural networks learn the same representations?
Recent success in training deep neural networks have prompted active investigation into the
features learned on their intermediate layers. Such research is difficult because it requires …
features learned on their intermediate layers. Such research is difficult because it requires …
Controllability of complex networks
The ultimate proof of our understanding of natural or technological systems is reflected in
our ability to control them. Although control theory offers mathematical tools for steering …
our ability to control them. Although control theory offers mathematical tools for steering …
Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
High-throughput mRNA sequencing (RNA-Seq) promises simultaneous transcript discovery
and abundance estimation,,. However, this would require algorithms that are not restricted …
and abundance estimation,,. However, this would require algorithms that are not restricted …