Inelastic nuclear resonant scattering spectra of Fe atoms were measured on crystalline alloys of Pt3 Fe that were chemically disordered, partially ordered, and L12 ordered. Phonon partial density of states curves for Fe were obtained from these spectra. Upon disordering, about 10% of the spectral intensity underwent a distinct shift from 25 to 19 meV. This change in optical modes accounted for ...

Very high spatial resolution multispectral images and lower spatial resolution hyperspectral images are complementary sources for urban object classification. The first enables a fine delineation of objects, while the second can better discriminate classes and consider richer land cover semantics. This paper presents a decision fusion scheme taking advantage of both sources classification maps,...

OF THE HUYGENS LANDING SITE. S. Rodriguez, S. Le Mouélic, C. Sotin, H. Clénet, R.N. Clark, B. Buratti, R.H. Brown, T.B. McCord, and the VIMS team, 1 Laboratoire de Planétologie et de Géodynamique de Nantes, Sciences et Techniques, 2 rue de la Houssinière, B.P. 92205, 44322 Nantes, France, (email: [email protected]), 2 USGS, Denver Federal Center, Denver, 3 JPL, Pasadena, 4 Luna...

Since the major review by Scalo (1986), significant progress has been achieved in constraining the mass function (MF) of low-mass stars. The break-throughs which today allow a much better understanding of the stellar luminosity function (LF) and the underlying MF are documented here and the resulting MF for Galactic field stars is confronted with microlensing data, the chemical enrichment histo...

We propose an automatic approach towards determining the relative location of adjectives on a common scale based on their strength. We focus on adjectives expressing different degrees of goodness occurring in French product (perfumes) reviews. Using morphosyntactic patterns, we extract from the reviews short phrases consisting of a noun that encodes a particular aspect of the perfume and an adj...

This paper presents a multi-period optimization model for high margin and zero salvage products in online distribution channels with classifying customers based on number of products required. Taking hotel customers as an example, one is regular customers who reserve rooms for one day, and the other is long term stay (LTS) customers who reserve rooms for a number of days. LTS may guarantee a sp...

This paper describes our participation in the RepLab 2014 Reputation Dimensions task. The task is a multi-class classification task where tweets relating to an entity of interest are to be classified by their reputation dimension. For our participation we investigate two approaches; Firstly, we use a term’s gini-index score to quantify the term’s representativeness of a specific class and const...

We prove that the linear term and quadratic nonlinear term entering a nonlinear elliptic equation of divergence type can be uniquely identified by the Dirichlet to Neuman map. The unique identifiability is proved using the complex geometrical optics solutions and singular solutions. Mathematics subject classification (MSC2000): 35R30

Centroid-based text classification is one of the most popular supervised approaches to classify texts into a set of pre-defined classes. Based on the vector-space model, the performance of this classification particularly depends on the way to weight and select important terms in documents for constructing a prototype class vector for each class. In the past, it was shown that term weighting us...

In text categorization, different supervised term weighting methods have been applied to improve classification performance by weighting terms with respect to different categories, for example, Information Gain, χ statistic, and Odds Ratio. From the literature there are three term ranking methods to summarize term weights of different categories for multi-class text categorization. They are Sum...