News and contributions additions

src/CONTRIBUTIONS

@@ -53,25 +53,28 @@ We integrated the work of the following people:
 	- Translation of the documentation to Chinese 
 
  Baozeng Ding
-   - Support for modular java, c#, ruby, lua interfaces
+	 - Support for modular java, c#, ruby, lua interfaces
 
  Sergey Lisitsyn
-  - Locally Linear Embedding, Multidimensional Scaling, Local
-  Tangent Space Alignment, Kernel PCA
-  - Arpack wrappers
-  - Various bugfixes and structural improvements
+	- Locally Linear Embedding, Classic and Landmark 
+	  Multidimensional Scaling, Local Tangent Space Alignment,
+	  Hessian Locally Linear Embedding, Isomap, Laplacian Eigenmaps
+	- ARPACK wrapper
+	- Various bugfixes and structural improvements
+	- Translation of the documentation to Russian
 
  Shashwat Lal Das
-  - Streaming / Online Feature Framework for SimpleFeatures, SparseFeatures,
-  StringFeatures, SGD-QN, Online SGD, Online Liblinear, Online Vowpal Vabit
+	- Streaming / Online Feature Framework for SimpleFeatures, SparseFeatures,
+	  StringFeatures, SGD-QN, Online SGD, Online Liblinear, Online Vowpal Vabit
 
  Heiko Strathmann
-  - Model selection framework for arbitrary Machines
-  - Statistics module
-  - Subset support in features
-
+	- Model selection framework for arbitrary Machines
+	- Statistics module
+	- Subset support in features
+	- Various bugfixes and structural improvements
+
  Alesis Novik
-  - Gaussian Mixture Models
+	- Gaussian Mixture Models
 
  Evgeniy Andreev:
-  - FibonacciHeap
+	- FibonacciHeap

src/NEWS

@@ -10,8 +10,8 @@
 	     are now available. In particular: Locally Linear Embedding (LLE), Hessian 
 	     Locally Linear Embedding (HLLE), Local Tangent Space Alignment (LTSA),
 	     Kernel PCA (kPCA), Classic and Landmark Multidimensional Scaling (MDS, LMDS), 
-	     Classic and Landmark Isomap (Isomap, both e-Isomap and k-Isomap),
-	     Laplacian Eigenmaps (GSoC project of Sergey Lisitsyn)
+	     Classic and Landmark Isomap, Laplacian Eigenmaps 
+	     (GSoC project of Sergey Lisitsyn)
 	   - Various new kernels: TStudentKernel, CircularKernel, WaveKernel,
 	     SplineKernel, LogKernel, RationalQuadraticKernel, WaveletKernel,
 	     BesselKernel, PowerKernel, ExponentialKernel, CauchyKernel,ANOVAKernel,
@@ -26,7 +26,8 @@
 	   - Gaussian Mixture Models (GSoC project of Alesis Novik)
 	   - FibonacciHeap for efficient shortest-path 
 	     problem solving (thanks Evgeniy Andreev)
-	   - ARPACK wrapper (dseupd) for symmetric eigenproblems, 
+	   - ARPACK wrapper (dseupd) for symmetric eigenproblems (both
+	     generalized and non-generalized), 
 	     some new LAPACK wrappers (Sergey Lisitsyn)
 	   - New Statistics module for various statistics measures (Heiko Strathmann)
 	   - Subset support to features (Heiko Strathmann)