• mixOmics

  • Referenced in 29 articles [sw09508]
  • analyse highly dimensional data sets: regularized CCA and sparse PLS to unravel relationships between ... rCCA is a regularized version of CCA to deal with the large number of variables...
  • CCA

  • Referenced in 16 articles [sw09506]
  • CCA: An R Package to Extend Canonical Correlation Analysis. Canonical correlations analysis ... CCA) is an exploratory statistical method to highlight correlations between two data sets acquired ... results. We implemented an R package, CCA, freely available from the Comprehensive R Archive Network ... user to handle missing values. The CCA package also includes a regularized version...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • have been given to kernel PCA, kernel CCA and kernel PLS. Recent developments...
  • CCASat

  • Referenced in 13 articles [sw12924]
  • selection heuristic called configuration checking with aspiration (CCA). The CCA heuristic leads to an improved ... utilized to break ties in the CCA heuristic when candidate variables for flipping have...
  • SIKE

  • Referenced in 16 articles [sw42437]
  • public key encryption algorithm SIKE.PKE, and A CCA-secure key encapsulation mechanism SIKE.KEM...
  • SCIRun2

  • Referenced in 7 articles [sw12920]
  • SCIRun2: a CCA framework for high performance computing. We present an overview of the SCIRun2 ... based on the common component architecture (CCA) as stated by R. Armstrong ... subsystem. A meta component model based on CCA is used to accommodate multiple component models ... such as CCA, CORBA and Dataflow. A group of monitoring components built...
  • MCBC

  • Referenced in 7 articles [sw03323]
  • efficient CCA-secure online ciphers: MHCBC and MCBC Online ciphers are those ciphers whose ciphertexts ... secure against chosen ciphertext adversary (or called CCA-secure). In this paper, we have provided...
  • CTL

  • Referenced in 10 articles [sw06766]
  • usage. Comparable Software Technologies are CORBA or CCA (Common Component Architecture). Till to now several...
  • Saber

  • Referenced in 6 articles [sw25250]
  • based key exchange, CPA-secure encryption and CCA-secure KEM. In this paper, we introduce ... encryption scheme and finally into an IND-CCA secure key encapsulation mechanism using a post...
  • CCA

  • Referenced in 5 articles [sw30994]
  • CCA_ Computational convex analysis library. The Computational Convex Analysis numerical library contains efficient algorithms...
  • MOCCA

  • Referenced in 4 articles [sw12932]
  • MOCCA - Towards a Distributed CCA Framework for Metacomputing. We describe the design and implementation ... MOCCA, a distributed CCA framework implemented using the H2O metacomputing system. Motivated by the quest ... MOCCA highlights the natural match between CCA components and H2O pluglets, both in structure ... invocation methodology. An outline of how native CCA modules can be supported in the MOCCA...
  • CertiCrypt

  • Referenced in 6 articles [sw09443]
  • complete a formal proof of IND-CCA security of the OAEP padding scheme. In this...
  • CCAnr

  • Referenced in 6 articles [sw40122]
  • flips a variable according to the CCA (configuration checking with aspiration) heuristic if any; otherwise...
  • Ccaffeine

  • Referenced in 3 articles [sw04119]
  • CCA core specification in a distributed memory SPMD framework. We present an overview ... Common Component Architecture (CCA) core specification and CCAFFEINE, a Sandia National Laboratories framework implementation compliant ... with the draft specification. CCAFFEINE stands for CCA Fast Framework Example In Need of Everything...
  • CCP

  • Referenced in 4 articles [sw26422]
  • Significance Tests for Canonical Correlation Analysis (CCA). Significance tests for canonical correlation analysis, including asymptotic...
  • XCAT-C++

  • Referenced in 2 articles [sw12919]
  • Design and Performance of a Distributed CCA Framework. n this paper we describe the design ... based Common Component Architecture (CCA) framework, XCAT-C++. It can efficiently marshal and unmarshal large ... developers to leverage the efficacy of the CCA component model to manage the complexity...
  • ODEPACK++

  • Referenced in 2 articles [sw31193]
  • LSODE Fortran library for use in the CCA high performance component software architecture. We present ... LSODE-derived components solve models composed with CCA components developed independently at the Argonne ... common component architecture specification. We provide CCA-style interface specifications appropriate to linear equations, ordinary...
  • Backflip

  • Referenced in 2 articles [sw37683]
  • variant that is proved to be IND-CCA secure. The proof models the KEM with ... needs to be resolved for every IND-CCA secure KEM (BIKE included) where the decapsulation...
  • Pyrcca

  • Referenced in 1 article [sw27033]
  • applications to neuroimaging. Canonical correlation analysis (CCA) is a valuable method for interpreting cross-covariance ... dimensionality. There are many potential applications of CCA to neuroimaging data analysis. For instance ... CCA can be used for finding functional similarities across fMRI datasets collected from multiple subjects ... open-source Python module for executing CCA between two or more datasets. Pyrcca...
  • rmscca

  • Referenced in 1 article [sw23317]
  • multiple sparse canonical correlation. Canonical correlation analysis (CCA) is a multivariate technique that takes ... otherwise difficult to compute or grasp intuitively. CCA appears to have quite powerful applications ... variation. One of the biggest problems of CCA is that the number of variables (often...