The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance computing. In the scientific computing context, component models also promote collaboration using independently developed software, thereby allowing particular individuals or groups to ...

Canonical correlation analysis (CCA) is a classical tool in statistical analysis to find the projections that maximize the correlation between two data sets. In this work we propose a generalization of CCA to several data sets, which is shown to be equivalent to the classical maximum variance (MAXVAR) generalization proposed by Kettenring. The reformulation of this generalization as a set of co...

Methionine aminopeptidase-2 (MetAP2) is over-expressed in several cancers, including the cholangiocarcinoma (CCA). We reported previously suppressive effects of fumagillin, a MetAP2 inhibitor, on growth of CCA cell lines. In the present study, we evaluated the anti-proliferative and anti-invasive activities of TNP-470, a fumagillin analogue with higher MetAP2 inhibitory activity, on CCA cell li...

Kurosawa and Desmedt proposed an efficient hybrid encryption scheme(KD04) which is secure against adaptive chosen ciphertext attacks(IND-CCA) although the underlying KEM(key encapsulation mechanism) is not IND-CCA secure[11]. We show a variant of KD04 which is IND-CCA secure when the the underlying DEM part is IND-CCA secure. We need a DEM built from one-time symmetric encryption scheme and a M...

Suppression of protein kinase A regulatory subunit 1 alpha (PRKAR1A) has been proven to inhibit cholangiocarcinoma (CCA) cell growth and enhance apoptosis. In the present study, we aimed to determine synergistic and/or additive effects of chemotherapeutic agents, including protein kinase inhibitors (i.e. sorafenib, sunitinib, gefitinib, Met inhibitor) and conventional chemotherapeutic drugs (i....

We address the problem of integrating textual and visual information in vector space models for word meaning representation. We first present the Residual CCA (R-CCA) method, that complements the standard CCA method by representing, for each modality, the difference between the original signal and the signal projected to the shared, max correlation, space. We then show that constructing visual ...

The Common Component Architecture (CCA) specification is designed to provide a plug-and-play environment for scientists to manage the complexity of large-scale scientific simulations. The same specification is used for the implementation of sequential, parallel and distributed frameworks. The CCA specification places minimal requirements on the framework design, thus allowing various research g...

Hotelling’s Canonical Correlation Analysis (CCA) works with two sets of related variables, also called views, and its goal is to find their linear projections with maximal mutual correlation. CCA is most suitable for unsupervised feature extraction when given two views but it has been also long known that in supervised learning when there is only a single view of data given, the supervision sig...

CCA is a powerful tool for analyzing paired multi-view data. However, when facing semi-paired multi-view data which widely exist in real-world problems, CCA usually performs poorly due to its requirement of data pairing between different views in nature. To cope with this problem, we propose a semi-paired variant of CCA named SemiPCCA based on the probabilistic model for CCA. Experiments with a...