[DOC] typos (grep and sed are so cool)

src/modules/gaussProcesses/WDataSetGP.cpp

@@ -80,7 +80,7 @@ const std::string WDataSetGP::getName() const
 
 const std::string WDataSetGP::getDescription() const
 {
-    return "Contains gaussian processes representing deterministic tracks.";
+    return "Contains Gaussian processes representing deterministic tracks.";
 }
 
 boost::shared_ptr< WPrototyped > WDataSetGP::getPrototype()

src/modules/gaussProcesses/WDataSetGP.h

@@ -50,7 +50,7 @@ public:
     WDataSetGP();
 
     /**
-     * Assembles a dataset of gaussian processes out of the deterministic tracts as well the
+     * Assembles a dataset of Gaussian processes out of the deterministic tracts as well the
      * underlying tensor field.
      *
      * \param tracts The dataset containing the deterministic tracts
@@ -71,7 +71,7 @@ public:
     virtual ~WDataSetGP();
 
     /**
-     * Defines a new mean function over the mean functions of all gaussian processes.
+     * Defines a new mean function over the mean functions of all Gaussian processes.
      *
      * \param p The position where to evaluate all mean functions
      *

src/modules/gaussProcesses/WGaussProcess.h

@@ -36,8 +36,8 @@
 class WFiber;
 
 /**
- * Represents a basic gaussian process with its mean- and covariance function. Basically this aims
- * to implement a part of the gaussian process framework as presented by Wasserman et. al:
+ * Represents a basic Gaussian process with its mean- and covariance function. Basically this aims
+ * to implement a part of the Gaussian process framework as presented by Wasserman et. al:
  * http://dx.doi.org/10.1016/j.neuroimage.2010.01.004
  */
 class WGaussProcess
@@ -45,7 +45,7 @@ class WGaussProcess
 friend class WGaussProcessTest;
 public:
     /**
-     * Constructs a gaussian process out of a fiber with the help of underlying diffusion tensor
+     * Constructs a Gaussian process out of a fiber with the help of underlying diffusion tensor
      * information.
      *
      * \param tractID One deterministic tractogram ID
@@ -69,7 +69,7 @@ public:
      *
      * \param p The point where to evaluate the Gauss process.
      *
-     * \return The mean value of this gaussian process at the point \e p.
+     * \return The mean value of this Gaussian process at the point \e p.
      */
     double mean( const WPosition& p ) const;
 
@@ -91,8 +91,8 @@ public:
     WFiber generateTract() const;
 
     /**
-     * As each gaussian process is associated with a WFiber it also hat the maximal segment length,
-     * used as width for the gaussian kernels around the base points.
+     * As each Gaussian process is associated with a WFiber it also hat the maximal segment length,
+     * used as width for the Gaussian kernels around the base points.
      *
      * \return Copy of the maximal segment length this Gauss process is associated with.
      */
@@ -150,7 +150,7 @@ private:
     double cov_d( const WPosition& p1, const WPosition& p2 ) const;
 
     /**
-     * Covariance function of this gaussian process.
+     * Covariance function of this Gaussian process.
      *
      * \note The reason why this isn't realized as member is just simplicity. Maybe we have time to
      * change this!
@@ -163,7 +163,7 @@ private:
     double cov( const WPosition& p1, const WPosition& p2 ) const;
 
     /**
-     * The id of the tract inside the \ref WDataSetFibers this gaussian process is representing.
+     * The id of the tract inside the \ref WDataSetFibers this Gaussian process is representing.
      * This is needed since the sample points of a tract will be needed for mean computation. (\f$
      * S_f(p) \f$ will need all \f$ f_i \f$i)
      *
@@ -242,10 +242,10 @@ inline const Eigen::VectorXd& WGaussProcess::getCff1lProduct() const
 namespace gauss
 {
     /**
-     * The inner product of two gaussian processes. See appendix A.3 of the Demian Wassermann paper.
+     * The inner product of two Gaussian processes. See appendix A.3 of the Demian Wassermann paper.
      *
-     * \param p1 First gaussian process
-     * \param p2 Second gaussian process
+     * \param p1 First Gaussian process
+     * \param p2 Second Gaussian process
      *
      * \return The similarity of those two processes, aka inner product.
      */

src/modules/gaussProcesses/detTract2GPConvert/WMDetTract2GPConvert.cpp

@@ -53,7 +53,7 @@ const std::string WMDetTract2GPConvert::getName() const
 
 const std::string WMDetTract2GPConvert::getDescription() const
 {
-    return "Converts deterministic tracts to gaussian processes as described in the paper of Wassermann: "
+    return "Converts deterministic tracts to Gaussian processes as described in the paper of Wassermann: "
            "http://dx.doi.org/10.1016/j.neuroimage.2010.01.004";
 }
 
@@ -96,7 +96,7 @@ void WMDetTract2GPConvert::moduleMain()
         {
             continue;
         }
-        boost::shared_ptr< WProgress > progress1 = boost::shared_ptr< WProgress >( new WProgress( "Converting tracts into gaussian processes.", tracts->size() ) ); // NOLINT line length
+        boost::shared_ptr< WProgress > progress1 = boost::shared_ptr< WProgress >( new WProgress( "Converting tracts into Gaussian processes.", tracts->size() ) ); // NOLINT line length
         m_progress->addSubProgress( progress1 );
         m_gpOC->updateData( boost::shared_ptr< WDataSetGP >( new WDataSetGP( tracts, tensors, m_shutdownFlag, progress1 ) ) );
         progress1->finish();

src/modules/gaussProcesses/detTract2GPConvert/WMDetTract2GPConvert.h

@@ -36,7 +36,7 @@
 #include "../WDataSetGP.h"
 
 /**
- * Converts each deterministic tract to a gaussian process using the DTI information.
+ * Converts each deterministic tract to a Gaussian process using the DTI information.
  * \ingroup modules
  */
 class WMDetTract2GPConvert: public WModule
@@ -99,7 +99,7 @@ protected:
 private:
     /**
      * Input connector for the deterministic tract dataset which is going to be converted into
-     * gaussian processes.
+     * Gaussian processes.
      */
     boost::shared_ptr< WModuleInputData< WDataSetFibers > > m_tractIC;
 

src/modules/gaussProcesses/detTractClusteringGP/WMDetTractClusteringGP.cpp

@@ -64,7 +64,7 @@ const std::string WMDetTractClusteringGP::getDescription() const
 
 void WMDetTractClusteringGP::connectors()
 {
-    m_gpIC = WModuleInputData< WDataSetGP >::createAndAdd( shared_from_this(), "gpInput", "WDataSetGP providing the gaussian processes" );
+    m_gpIC = WModuleInputData< WDataSetGP >::createAndAdd( shared_from_this(), "gpInput", "WDataSetGP providing the Gaussian processes" );
     m_dendOC = WModuleOutputData< WDendrogram >::createAndAdd( shared_from_this(), "dendrogramOutput", "WDendrogram as a result of this clustering" );
 
     WModule::connectors();

src/modules/gaussProcesses/detTractClusteringGP/WMDetTractClusteringGP.h

@@ -40,7 +40,7 @@
 class WDendrogram;
 
 /**
- * Module for clustering gaussian processes which representing deterministic tracts.
+ * Module for clustering Gaussian processes which representing deterministic tracts.
  *
  * \ingroup modules
  */
@@ -101,11 +101,11 @@ protected:
     virtual void properties();
 
     /**
-     * Computes the distant matrix for all pairs of gaussian processes.
+     * Computes the distant matrix for all pairs of Gaussian processes.
      *
      * \warning This function may leave an invalid matrix when the \ref m_shutdownFlag becomes true!
      *
-     * \param dataSet The dataset of gaussian processes.
+     * \param dataSet The dataset of Gaussian processes.
      *
      * \return The similarity or also called distant matrix.
      */
@@ -124,7 +124,7 @@ protected:
     boost::shared_ptr< WDendrogram > computeDendrogram( size_t n );
 
     /**
-     * Input Connector for the gaussian processes which are about to be clustered.
+     * Input Connector for the Gaussian processes which are about to be clustered.
      */
     boost::shared_ptr< WModuleInputData< WDataSetGP > > m_gpIC;
 
@@ -134,7 +134,7 @@ protected:
     boost::shared_ptr< WModuleOutputData< WDendrogram > > m_dendOC;
 
     /**
-     * Distant matrix of all pairs of gaussian processes. This is float to save more space!
+     * Distant matrix of all pairs of Gaussian processes. This is float to save more space!
      */
     WMatrixSymFLT m_similarities;
 

src/modules/gaussProcesses/gpView/WMGpView.cpp

@@ -59,7 +59,7 @@ const std::string WMGpView::getName() const
 
 const std::string WMGpView::getDescription() const
 {
-    return "Displays gaussian processes. It is intended to display espically GP representing deterministic tracts.";
+    return "Displays Gaussian processes. It is intended to display espically GP representing deterministic tracts.";
 }
 
 void WMGpView::connectors()

src/modules/gaussProcesses/gpView/WMGpView.h

@@ -132,7 +132,7 @@ protected:
 
 private:
     /**
-     * Input connector for the gaussian proccesses.
+     * Input connector for the Gaussian proccesses.
      */
     boost::shared_ptr< WModuleInputData< WDataSetGP > > m_gpIC;
 

src/modules/gaussProcesses/test/WGaussProcess_test.h

@@ -36,7 +36,7 @@
 #include "../WGaussProcess.h"
 
 /**
- * Testsuite for the gaussian process class.
+ * Testsuite for the Gaussian process class.
  */
 class WGaussProcessTest : public CxxTest::TestSuite
 {
@@ -160,7 +160,7 @@ public:
         TS_ASSERT_DELTA( overlap, 0.5065, 0.003 );
     }
 
-// TODO(math): This is just about to understand what the outcome of small tracts along long tracts in terms of gaussian process similarity is, and
+// TODO(math): This is just about to understand what the outcome of small tracts along long tracts in terms of Gaussian process similarity is, and
 // can be removed when I understood this to full extent.
 //
 //    void testSmallTractAlongLongTract( void )
@@ -235,7 +235,7 @@ private:
     boost::shared_ptr< WDataSetDTI > m_emptyDTIDataSet;
 
     /**
-     * Dummy tract dataset for gaussian process generation.
+     * Dummy tract dataset for Gaussian process generation.
      */
     boost::shared_ptr< WDataSetFibers > m_tracts;