Copyright c © 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. edges among instances EX for each class (building connections between the entries within the same row, for every row of Z); last, we copy the edges among classes EC for each instance (building connections between the entries within the same column, for every column of Z). di 6= ∑m...

Annotating age classes for humans’ facial images according to their appearance is very challenging because of dynamic personspecific ageing pattern, and thus leads to a set of unreliable apparent age labels for each image. For utilising ambiguous label annotations, an intuitive strategy is to generate a pseudo age for each image, typically the average value of manually-annotated age annotations...

The abundant images and user-provided tags available on social media websites provide an intriguing opportunity to scale vision problems beyond the limits imposed by manual dataset collection and annotation. However, exploiting user-tagged data in practice is challenging since it contains many noisy (incorrect and missing) labels. In this work, we propose a novel robust graph-based approach for...

Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-label learning by solving a Sylvester Equation (SMSE). Two graphs are first constructed on instance level and category level respectively. For instance level, a graph is defined based on both labeled and unlabeled instance...

Current implementations of GMPLS protocol suite are unaware of optical signal physical impairments and quality of transmission. In this paper, we present an overview of different approaches for implementing QoT estimation and QoT measurements in transparent networks and for encompassing sparse regeneration information in translucent networks.

All animal embryos begin development by modifying the egg extracellular matrix. This protein-rich matrix protects against polyspermy, microbes and mechanical stress via enzyme-dependent transformations that alter the organization of its constituents. Using the sea urchin fertilization envelope, a well-defined extracellular structure formed within minutes of fertilization, we examine the mechani...

We propose a kernel extension of Orthonormalized PLS for feature extraction, within the framework of Kernel Multivariate Analysis (KMVA) KMVA methods have dense solutions and, therefore, scale badly for large datasets By imposing sparsity, we propose a modified KOPLS algorithm with reduced complexity (rKOPLS) The resulting scheme is a powerful feature extractor for regression and classification...

The efficacy and safety of medicines may be different in children compared to adults. The available documentation at the time of approval is, in general more sparse in children and long term data collection may be needed in order to clarify the safety profile in children and particularly to detect any long-term or delayed toxicities in the developing child. Therefore, there is a need to careful...

In this paper, we propose the MIML (Multi-Instance Multi-Label learning) framework for learning with ambiguous objects, where an example is described by multiple instances and associated with multiple class labels. Comparing with traditional learning frameworks, the MIML framework is more convenient and natural for representing ambiguous objects. To learn MIML examples, we propose the MimlBoost...

Canonical Correlation Analysis (CCA) is a useful technique for modeling dependencies between two (or more) sets of variables. Building upon the recently suggested probabilistic interpretation of CCA, we propose a nonparametric, fully Bayesian framework that can automatically select the number of correlation components, and effectively capture the sparsity underlying the projections. In addition...