The LIDAR (LIght Detection And Ranging) technique is an eecient tool for remote monitoring of the distribution of a number of atmospheric species. We study measurements of SO 2 emitted from the Italian vulcano Etna. In this study we focus on the treatment of data and on the procedure to evaluate range resolved concentrations. In order to make an in-depth analysis we prepared the lidar system to...

In this paper, a new technique called symbolic kernel Principal Component Analysis (KPCA) is explored to develop a model for face representation and recognition. The conventional kernel PCA method extracts single valued features from the original image space to represent face images. The proposed method reduces the dimensionality of original image space by representing the face images as symbol...

Nowhere dense classes of graphs [21, 22] are very general classes of uniformly sparse graphs with several seemingly unrelated characterisations. From an algorithmic perspective, a characterisation of these classes in terms of uniform quasi-wideness, a concept originating in finite model theory, has proved to be particularly useful. Uniform quasi-wideness is used in many fpt-algorithms on nowher...

Kernelization is a concept that enables the formal mathematical analysis of data reduction through the framework of parameterized complexity. Intensive research into the Vertex Cover problem has shown that there is a preprocessing algorithm which given an instance (G, k) of Vertex Cover outputs an equivalent instance (G′, k′) in polynomial time with the guarantee that G′ has at most 2k′ vertice...

Preprocessing (data reduction or kernelization) to reduce instance size is one of the most commonly deployed heuristics in the implementation practice to tackle computationally hard problems. However, a systematic theoretical study of them remained elusive so far. One of the reasons for this is that if an input to an NP -hard problem can be processed in polynomial time to an equivalent one of s...

Fase tumbuh kembang anak sangat berpengaruh terhadap fase selanjutnya. Dimana orangtua harus lebih cermat dalam memantau anaknya. Perkembangan dapat dipantau dengan aplikasi anak, salah satunya adalah PrimaKu yang diakses di google play store ataupun appstore. Saat ini telah didownload sebanyak 500ribu kali rating 4.8. Pada dilihat pada kolom komentar mengenai ulasan diisi oleh pengguna ini. SV...

A. Proof of Theorem 2 We here prove a lower bound on the number of support vectors to achieve the optimal regret bound. First, we construct a set of n examples T1 = {(xi, yi)}i=1, where 〈κ(xi, ·), κ(xj , ·)〉Hκ = δij and yi ∈ {1,−1}. To make the construction, consider the degree-d polynomial kernel κ(x,y) = (xy) and an Euclidean space R where m > n. Since m > n, we can find a set of orthonormal ...

Mourrain [Mo] characterizes those linear projectors on a finite-dimensional polynomial space that can be extended to an ideal projector, i.e., a projector on polynomials whose kernel is an ideal. This is important in the construction of normal form algorithms for a polynomial ideal. Mourrain’s characterization requires the polynomial space to be ‘connected to 1’, a condition that is implied by ...

Feature selection is a process of identifying relevant feature subset that leads to the machine learning algorithm in well-defined manner. In this paper, anovel ensemble approach comprises Relief Attribute Evaluation and hybrid kernel-based support vector (HK-SVM) proposed as method for network intrusion detection system (NIDS). A Hybrid along with combination Gaussian Polynomial methods used k...

A continuous linear operator T , on the space of entire functions in d variables, is PDE-preserving for a given set P ⊆ C[ξ1, ..., ξd] of polynomials if it maps every kernel-set ker P (D), P ∈ P, invariantly. It is clear that the set O(P) of PDE-preserving operators for P forms an algebra under composition. We study and link properties and structures on the operator side O(P) versus the corresp...