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Fast and Space Efficient Spectral Sparsification in Dynamic Streams

Related publications (98)

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Bayesian Early Mode Decision Technique for View Synthesis Prediction-enhanced Multiview Video Coding

Pascal Frossard, Thomas Maugey

View synthesis prediction (VSP) is a coding mode that predicts video blocks from synthesised frames. It is particularly useful in a multi-camera setup with large inter-camera distances. Adding a VSP-based SKIP mode to a standard Multiview Video Coding (MVC ...

Institute of Electrical and Electronics Engineers2013

Supercriticality of an annealed approximation of Boolean networks

Thomas Mountford, Daniel Rodrigues Valesin

We consider a model recently proposed by Chatterjee and Durrett [1] as an "annealed approximation" of boolean networks, which are a class of cellular automata on a random graph, as defined by S. Kauffman [5]. The starting point is a random directed graph o ...

Univ Washington, Dept Mathematics2013

Graph-Based Information Processing

Amin Karbasi

We live in a world characterized by massive information transfer and real-time communication. The demand for efficient yet low-complexity algorithms is widespread across different fields, including machine learning, signal processing and communications. Mo ...

EPFL2012

Graph-Constrained Group Testing

Amin Karbasi, Mahdi Cheraghchi Bashi Astaneh, Soheil Mohajerzefreh

Non-adaptive group testing involves grouping arbitrary subsets of

n

items into different pools. Each pool is then tested and defective items are identified. A fundamental question involves minimizing the number of pools required to identify at most

d

d ...

2012

Generating Fast Indulgent Algorithms

Rachid Guerraoui, Seth Gilbert, Dan Alistarh

Synchronous distributed algorithms are easier to design and prove correct than algorithms that tolerate asynchrony. Yet, in the real world, networks experience asynchrony and other timing anomalies. In this paper, we address the question of how to efficien ...

Springer Verlag2012

Practicality and time complexity of a sparsified RNA folding algorithm

Philipp Bucher, Slavica Dimitrieva Janeva

Commonly used RNA folding programs compute the minimum free energy structure of a sequence under the pseudoknot exclusion constraint. They are based on Zuker's algorithm which runs in time O(n^3). Recently, it has been claimed that RNA folding can be achie ...

2012

Multi-Graph Sampling Of Online Communities Via Mean Hitting Time

We derive a framework for sampling online communities based on the mean hitting time of its members, considering that there are multiple graphs associated with the same vertex set V representing the social network. First, we formulate random walk models on ...

Ieee2012

Rethinking FPGAs: Elude the Flexibility Excess of LUTs with And-Inverter Cones

Paolo Ienne, David Novo Bruna, Hadi Parandeh Afshar, Hind Benbihi

Look-Up Tables (LUTs) are universally used in FPGAs as the elementary logic blocks. They can implement any logic function and thus covering a circuit is a relatively straightforward problem. Naturally, flexibility comes at a price, and increasing the numbe ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2012

Complexity of the critical node problem over trees

Marco Di Summa

In this paper we deal with the critical node problem (CNP), i.e., the problem of searching for a given number K of nodes in a graph G, whose removal minimizes the (weighted or unweighted) number of connections between pairs of nodes in the residual graph. ...

2011

Space crossing numbers

We define the crossing number for an embedding of a graph G into R^3, and prove a lower bound on it which almost implies the classical crossing lemma. We also give sharp bounds on the space crossing numbers of pseudo-random graphs. ...

2011

Graph-Constrained Group Testing

Amin Karbasi, Mahdi Cheraghchi Bashi Astaneh, Soheil Mohajerzefreh

Non-adaptive group testing involves grouping arbitrary subsets of

n

items into different pools. Each pool is then tested and defective items are identified. A fundamental question involves minimizing the number of pools required to identify at most

d

d ...

2012